Note: Starting with serial number 0J5840, 3pi robots are shipping with the newer ATmega328P
microcontroller instead of the ATmega168. The serial number is located on a white bar code sticker on
the bottom of the 3pi PCB. The ATmega328 is essentially a drop-in replacement for the ATmega168
with twice the memory (32 KB flash, 2 KB RAM, and 1 KB of EEPROM), so the 3pi code written for
the ATmega168 should work with minimal modification on the ATmega328 (the Pololu AVR Library
[http://www.pololu.com/docs/0J20] now supports the ATmega328P).
The Pololu 3pi robot is a small, high-performance, autonomous robot designed to excel in line-following and linemaze-solving competitions. Powered by four AAA batteries (not included) and a unique power system that runs the
motors at a regulated 9.25 V, 3pi is capable of speeds up to 100 cm/second while making precise turns and spins that
don’t vary with the battery voltage. This results in highly consistent and repeatable performance of well-tuned code
even as the batteries run low. The robot comes fully assembled with two micro metal gearmotors, five reflectance
sensors, an 8×2 character LCD, a buzzer, three user pushbuttons, and more, all connected to a user-programmable
AVR microcontroller. The 3pi measures approximately 3.7 inches (9.5 cm) in diameter and weighs 2.9 oz (83 g)
without batteries.
The 3pi is based on an Atmel ATmega168 or ATmega328 microcontroller, henceforth referred to as the
“ATmegaxx8”, running at 20 MHz. ATmega168-based 3pi robots feature 16 KB of flash program memory and 1 KB
RAM, and 512 bytes of persistent EEPROM memory; ATmega328-based 3pi robots feature 32 KB of flash program
memory, 2 KB RAM, and 1 KB of persistent EEPROM memory. The use of the ATmegaxx8 microcontroller makes
the 3pi compatible with the popular Arduino development platform. Free C and C++ development tools are also
available, and an extensive set of libraries make it a breeze to interface with all of the integrated hardware. Sample
programs are available to show how to use the various 3pi components, as well as how to perform more complex
behaviors such as line following and maze solving.
Please note that an external AVR ISP programmer, such as our USB AVR Programmer [http://www.pololu.com/product/
1300] is required to program the 3pi robot.
For a Spanish version of this document, please see Pololu 3pi Robot Guia Usuario
[http://www.pololu.com/file/download/Pololu3piRobotGuiaDeUsuario.pdf?file_id=0J137] (3MB pdf) (provided by
You can check the 3pi product page [http://www.pololu.com/product/975] for additional information, including pictures,
videos, example code, and other resources.
We would be delighted to hear from you about any of your projects and about your experience with the 3pi robot. You
can contact us [http://www.pololu.com/contact] directly or post on our forum [http://forum.pololu.com/]. Tell us what we did
well, what we could improve, what you would like to see in the future, or share your code with other 3pi users.
3. Important Safety Warning and Handling Precautions
The 3pi robot is not intended for young children! Younger users should use this product only under adult supervision.
By using this product, you agree not to hold Pololu liable for any injury or damage related to the use or to the
performance of this product. This product is not designed for, and should not be used in, applications where the
malfunction of the product could cause injury or damage. Please take note of these additional precautions:
• Do not attempt to program your 3pi if its batteries are drained or uncharged. Losing power during
programming could permanently disable your 3pi. If you have purchased rechargeable batteries for use with
the 3pi, do not assume they come fully charged; charge them before you first use them. The 3pi has the ability to
monitor its battery voltage; the example line-following and maze-solving programs we provide show how to use
this feature, and you should include it in your programs so you can know when its time to recharge or replace
your batteries.
• The 3pi robot contains lead, so follow appropriate handling procedures, such as not licking the robot and
washing hands after handling.
• The 3pi robot is intended for use indoors on relatively flat, smooth surfaces. Avoid running your 3pi on
surfaces that might scrape or damage the underside of your robot’s PCB as it drives around.
• Avoid placing the robot so that the underside of the PCB makes contact with conductive materials (e.g. do not
place the 3pi in a bin filled with metal parts). This could inadvertently short out the batteries and damage your
robot, even with the 3pi turned off. Shorting various pads or components together could also damage your 3pi.
• Since the PCB and its components are exposed, take standard precautions to protect your 3pi robot from ESD
(electrostatic discharge), which could damage the on-board electronics. When picking up the 3pi, you should
first touch a safe part of the robot such as the wheels, motors, batteries, or the edges of the PCB. If you first touch
components on the PCB, you risk discharging through them. When handing the 3pi to another person, first touch
their hand with your hand to equalize any charge imbalance between you so that you don’t discharge through the
3pi as the exchange is made.
• If you remove the LCD, take care to replace it in the right orientation such that it is over the rear battery back.
It is possible to put the LCD in backwards or offset; doing so could damage the LCD or the 3pi.
3. Important Safety Warning and Handling PrecautionsPage 5 of 63
Getting started with your 3pi can be as simple as taking it out of the box, adding batteries, and turning it on. The 3pi
ships with a demo program that will give you a brief tour of its features.
General features of the Pololu 3pi robot, top view.
4. Getting Started with Your 3pi RobotPage 6 of 63
The following subsections will give you all the information you need to get your 3pi up and running!
4.a. What You Will Need
The following materials are necessary for getting started with your 3pi:
• 4 AAA batteries. Any AAA cells will work, but we recommend NiMH batteries, which are rechargeable
and can be purchased from Pololu [http://www.pololu.com/product/1002] or at a local store. If you use rechargeable
batteries, you will also need a battery charger. Battery chargers designed to connect to external series battery
packs, such as the iMAX-B6AC [http://www.pololu.com/product/2260], may be used with the 3pi’s battery charger
port.
• AVR ISP programmer with 6-pin connector. The 3pi features an ATmegaxx8 microcontroller, which
requires an external programmer such as the Pololu USB AVR programmer [http://www.pololu.com/product/1300]
or Atmel’s AVRISP series. The 3pi has a standard 6-pin programming connector, so your programmer will need
to have a 6-pin ISP cable [http://www.pololu.com/product/972] for connecting to the target device. (You will also
need whatever cable your programmer requires to connect to a computer.
• A desktop or laptop computer. You will need a personal computer for developing your code and loading it
onto the 3pi. The 3pi can be programmed on Windows, Mac, and Linux operating systems, but Pololu support
for Macs is limited.
4. Getting Started with Your 3pi RobotPage 7 of 63
You might find the following materials useful in creating an environment for your robot to explore:
• Several large sheets of white posterboard (available at crafts or office supply stores) or dry-erase whiteboard
stock (commonly available at home/construction supply stores).
• Light-colored masking tape for joining multiple sheets together.
• 3/4" black electrical tape to create lines for your robot to follow.
4.b. Powering Up Your 3pi
The first step in using your new 3pi robot is to insert four AAA
batteries into the battery holders. To do this you will need to remove
the LCD. Pay attention to the LCD’s orientation as you will want to
plug it back in this way when you are done. With the LCD removed
your 3pi should look like the picture to the right.
Once the batteries are in place, you should return the LCD to its
position over the rear battery holder. Make sure each male LCD
header pin goes into a corresponding female socket.
Next, push the power button (located on the left side of the rear
battery pack) to turn on your 3pi. You should see the two blue power
LEDs on the underside of the 3pi light, and the 3pi should begin
running its preloaded demo program. You can simply push the
power button again to turn the 3pi off, and you can push the reset
button (located just below the power button) to reset the program
the robot is running.
4.c. Using the Preloaded Demo Program
Your 3pi comes preloaded with a program that demonstrates most of its features and allows you to test that it is
working correctly. When you first turn on your 3pi, you will hear a beep and see the words “Pololu 3pi Robot”, then
“Demo Program” appear, indicating that you are running the demo program. If you hear a beep but do not see any
text on the LCD, you may need to adjust the contrast potentiometer on the underside of the board. When the program
has started successfully, press the B button to proceed to the main menu. Press C or A to scroll forward or backward
through the menu, and press B to make a selection or to exit one of the demos. There are seven demos accessible from
the menu:
1. Battery: This demo displays the battery voltage in millivolts, which should be above 5000 (5.0 Volts) for a
fully-charged set of batteries. Removing the jumper marked ADC6 will separate the battery voltage measurement
circuit from the analog input, causing the number displayed to drop to some low value.
2. LEDs: Blinks the red and green user LEDs on the underside of the board. If you have soldered in the optional
user LEDs, they will also blink.
3. Trimpot: Displays the position of the user trimmer potentiometer, which is located on the underside of the
board, as a number between 0 and 1023. While displaying the value, this demo also blinks the LEDs and plays a
note whose frequency is a function of the current reading. It is easiest to turn the trimpot using a 2mm flat-head
screwdriver.
4. Sensors: Show the current readings of the IR sensors using a bar graph. Bigger bars mean lower reflectance.
Placing a reflective object such as your finger under one of the sensors will cause the corresponding reading to
drop visibly on the graph. This demo also displays “C” to indicate that button C has an effect—press C and the
IR emitters will be turned off. In indoor lighting conditions away from bright incandescent or halogen lights,
4. Getting Started with Your 3pi RobotPage 8 of 63
all of the sensors should return entirely black readings with IR off. Removing the jumper marked PC5 disables
control of the emitters, causing them to always be on.
5. Motors: Hold down A or C to run the motor on the corresponding side, or hold down both buttons to run
both motors simultaneously. The motors will gradually ramp up to speed; in your own programs, you can switch
them on much more suddenly. Tap A or C to switch the corresponding motor to reverse (the button letter becomes
lowercase if pressing it will drive the corresponding motor in reverse).
6. Music: Plays an adaptation of J. S. Bach’s Fugue in D Minor for microcontroller and piezo, while scrolling
a text display. This demonstrates the ability of the 3pi to play music in the background.
7. Timer: A simple stopwatch. Press C to start or stop the stopwatch and A to reset. The stopwatch continues
to count while you are exploring the other demos.
Note: If the 3pi receives any serial data while the demo program is waiting for a button press from the
user, it will switch into serial slave mode. See Section 10.a for more information.
The source code for the demo program is included with the Pololu AVR C/C++ Library described in Section 6, in the
folder examples\3pi-demo-program.
4.d. Included Accessories
The 3pi robot ships with two through-hole red LEDs and two
through-hole green LEDs. There are connection points for three
optional LEDs on your 3pi: one next to the power button to indicate
when the 3pi is on and two user-controllable LED ports near the
front edge of the robot. Using these LEDs is completely optional as
the 3pi will function just fine without them. You can customize your
3pi by choosing your desired combination of red and green LEDs,
or you can even use your own LEDs [http://www.pololu.com/category/
20/leds] if you want more color/brightness options.
Note that you should only add LEDs if you are comfortable
soldering, and you should take care to avoid desoldering any of the
components near the through-hole LED pads. LEDs are polarized, so be sure to solder them such that the longer lead
connects to the pad marked with the +. Before you solder them in you can press-fit them in place and check to make
sure they light as expected. Once soldered in place, carefully trim off the excess portion of the LED leads.
Your 3pi also ships with three shorting blocks of each color: blue, red, yellow, black. This means you can customize
your 3pi by selecting the shorting block color you most prefer, or you can use a mixture of colors!
4. Getting Started with Your 3pi RobotPage 9 of 63
The power system on the 3pi begins with the batteries, so it is important to
understand how your batteries work. A battery contains a carefully controlled
chemical reaction that pulls electrons in from the positive (+) terminal and
pushes them out of the negative (-) terminal. The most common type is the
alkaline battery, which is based on a reaction between zinc and manganese
through a potassium hydroxide solution. Once alkaline batteries are
completely discharged, they cannot be reused. For the 3pi, we recommend
rechargeable nickel-metal-hydride (NiMH) batteries, which can be recharged
over and over. NiMH batteries are based on a different chemical reaction
from alkaline batteries, but you don’t need to know anything about the
chemical details to use a battery: everything you need to know about it is
measured with a few simple numbers. The first is the strength with which the
electrons are pushed, which we measure in volts (V), the units of electric
potential. An NiMH battery has a voltage of about 1.2 V. To understand how
much power you can get out of a battery, you also need to know how many electrons the battery can push per second –
this is the electric current, measured in amps (A). A current of 1 A corresponds to about 6×1018electrons flowing out
one side and in to the other each second, which is such a huge number that it’s easier to talk about it just in terms of
amps. 1 A is also a typical current that a medium-sized motor might use, and it’s a current that will put a significant
strain on small (AAA) batteries.
Two rechargeable AAA Ni-MH
batteries.
For any battery, if you attempt to draw more and more current, the voltage produced by the battery will drop,
eventually dropping all the way to zero at the short circuit current: the current that flows if you connect one side
directly to the other with a thick wire. (Don’t try this! The wire might overheat and melt, and the battery could
explode.) The following graph shows a good model of how the voltage on a typical battery drops as the current goes
up:
Battery voltage vs. current.
The power put out by a battery is measured by multiplying the volts by the amps, giving a measurement in watts
(W). For example, at the point marked in the graph, we have a voltage of 0.9 V and a current of 0.6 A, this means
that the power output is 0.54 W. If you want more power, you need to add more batteries, and there are two ways to
do it: parallel and series configurations. When batteries are connected in parallel, with all of their positive terminals
tied together and all of their negative terminals tied together, the voltage stays the same, but the maximum current
output is multiplied by the number of batteries. When they are connected in series, with the positive terminal of one
connected to the negative terminal of the next, the maximum current stays the same while the voltage multiplies.
Either way, the maximum power output will be multiplied by the number of batteries. Think about two people using
two buckets to lift water from a lake to higher ground. If they stand next to each other (working in parallel), they will
be able to lift the water to the same height as before, while delivering twice the amount of water. If one of them stands
uphill from the other, they can work together (in series) to lift the water twice as high, but at the same rate as a single
person.
In practice, we only connect batteries in series. This is because different batteries will always have slightly different
voltages, and if they are connected in parallel, the stronger battery will deliver current to the weaker battery, wasting
power even when there is nothing else in the circuit. If we want more current, we can use bigger batteries: AAA, AA,
C, and D batteries of the same type all have the same voltage, but they can put out very different amounts of current.
The total amount of energy in any battery is limited by the chemical reaction: once the chemicals are exhausted, the
battery will stop producing power. This happens gradually: the voltage and current produced by a battery will steadily
drop until the energy runs out, as shown in the graph below:
Battery voltage vs. time.
A rough measure of the amount of energy stored in a battery is given by its milliamp-hour (mAH) rating, which
specifies how long the battery will last at a given discharge rate. The mAH rating is the discharge rate multiplied by
how long the battery lasts: if you draw current at a rate of 200 mA (0.2 A), and the battery lasts for 3 hours, you would
call it a 600 mAH battery. If you discharge the same battery at 600 mA, you would get about an hour of operation
(however, battery capacity tends to decline with faster discharge rates, so you might only get 50 minutes).
Note: If you have purchased rechargeable batteries for the 3pi, you should fully charge them before
you first use them. You should never attempt to program your 3pi if its batteries are drained or
uncharged. Losing power during programming could permanently disable your 3pi.
5.b. Power management
Battery voltage drops as the batteries are used up, but many electrical components require a specific voltage. A special
kind of component called a voltage regulator helps out by converting the battery voltage to a constant, specified
voltage. For a long time, 5 V has been the most common regulated voltage used in digital electronics; this is also
called TTL level. The microcontroller and most of the circuitry in the 3pi operate at 5 V, so voltage regulation is
essential. There are two basic types of voltage regulators:
• Linear regulators use a simple feedback circuit to vary how much energy is passed through and how much is
discarded. The regulator produces a lower output voltage by dumping unneeded energy. This wasteful, inefficient
approach makes linear regulators poor choices for applications that have a large difference between the input and
output voltages, or for applications that require a lot of current. For example, 15 V batteries regulated down to
5 V with a linear regulator will lose two-thirds of their energy in the linear regulator. This energy becomes heat,
so linear regulators often need large heat sinks, and they generally don’t work well with high-power applications.
• Switching regulators turn power on and off at a high frequency, filtering the output to produce a stable
supply at the desired voltage. By carefully redirecting the flow of electricity, switching regulators can be much
more efficient than linear regulators, especially for high-current applications and large changes in voltage. Also,
switching regulators can convert low voltages into higher voltages! A key component of a switching regulator is
the inductor, which stores energy and smooths out current; on the 3pi, the inductor is the gray block near the ball
caster labeled “100”. A desktop computer power supply also uses switching regulators: peek through the vent in
the back of your computer and look for a donut-shaped piece with a coil of thick copper wire wrapped around it
– that’s the inductor.
The power management subsystem built into the 3pi is shown in this block diagram:
The voltage of 4 x AAA cells can vary between 3.5 – 5.5 V (and even to 6 V if alkalines are used). This means it’s
not possible simply to regulate the voltage up or down to get 5 V. Instead, in the 3pi, a switching regulator first boosts
the battery voltage up to 9.25 V (Vboost), and a linear regulator regulates Vboost back down to 5 V (VCC). Vboost
powers the motors and the IR LEDs in the line sensors, while VCC is used for the microcontroller and all digital
signals.
Using Vboost for the motors and sensors gives the 3pi three unique performance advantages over typical robots,
which use battery power directly:
• First, a higher voltage means more power for the motors, without requiring more current and a larger motor
driver.
• Second, since the voltage is regulated, the motors will run the same speed as the batteries drop from 5.5 down
to 3.5 V. You can take advantage of this when programming your 3pi, for example by calibrating a 90° turn based
on the amount of time that it takes.
• Third, at 9.25 V, all five of the IR LEDs can be powered in series so that they consume the lowest possible
amount of power. (Note that you can switch the LEDs on and off to save even more power.)
One other interesting thing about this power system is that instead of gradually running out of power like most robots,
the 3pi will operate at maximum performance until it suddenly shuts off. This can take you by surprise, so you might
want your 3pi to monitor its battery voltage.
A simple circuit for monitoring battery voltage is built in to the 3pi. Three
resistors, shown in the circuit at right, comprise a voltage divider that outputs a
voltage equal to two-thirds of the battery voltage, which will always be safely
below the main microcontroller’s maximum analog input voltage of 5 V. For
example, at a battery voltage of 4.8 V, the battery voltage monitor port ADC6
will be at a level of 3.2 V. Using 10-bit analog-to-digital conversion, where 5 V is
read as a value of 1023, 3.2 V is read as a value of 655. To convert it back to the
actual battery voltage, multiply this number by 5000 mV×3/2 and divide by
1023. This is handled conveniently by the read_battery_millivolts_3pi()
function (provided in the Pololu AVR Library; see Section 6 for more
information), which averages ten samples and returns the battery voltage in mV:
unsigned int read_battery_millivolts_3pi()
{
}
return readAverage(6,10)*5000L*3/2/1023;
5.c. Motors and Gearboxes
A motor is a machine that converts electrical energy to motion. There are
many different kinds of motors, but the most important for low-cost robotics
is the brushed DC motor, which is the type used on the 3pi. A brushed DC
motor typically has permanent magnets on the outside and several
electromagnetic coils mounted on the motor shaft (armature). The “brushes”
are sliding pieces of metal that switch the power from one coil to the next as
the shaft turns so that magnetic attraction between the coil and the magnets
continuously pulls the motor in the same direction.
The primary values that describe a running motor are its speed, measured in
rpm, and its torque, measured in kg·cm or oz·in (pronounced “ounceinches”). The units for torque show the dependence on both force and
distance; for example, a motor that produces 6 oz·in of torque can product a
force of 6 oz. with a 1-inch lever arm, 3 oz. with a 2-inch lever, and so on.
A typical small brushed DC
motor, with no gearbox.
Multiplying the torque and speed (measured at the same time) give us the
power delivered by a motor. We see, therefore, that a motor with twice the speed and half the torque as another has the
same power output.
Every motor has a maximum speed (when no force is applied) and a maximum torque (when the motor is completely
stopped). We call these the free-running speed and the stall torque. Naturally, a motor uses the least current when no
force is applied to it, and the current drawn from the batteries goes up until it stalls, so the free-running current and
stall current are also important parameters characterizing the motor. The stall current is usually much higher than the
free-running current, as shown in the graph below:
The free-running speed of a small DC motor is usually many thousands of
rotations per minute (rpm), much higher than the speed we want the wheels of
a robot to turn. A gearbox is a system of gears that converts the high-speed,
low-torque output of the motor into a lower-speed, higher-torque output that
is a much better suited for driving a robot. The gear ratio used on the 3pi is
30:1, which means that for every 30 turns of the motor shaft, the output shaft
turns once. This reduces the speed by a factor of 30, and (ideally) increases
the torque by a factor of 30. The resulting parameters of the 3pi motors are
summarized in this table:
Gear ratio:30:1
Free-running speed:700 rpm
The 30:1 gearmotor used on the
3pi.
Free-running current:60 mA
Stall torque:6 oz·in
Stall current:540 mA
The two wheels of the 3pi each have a radius of 0.67 in, which means that the maximum force it can produce with
two motors when driving forward is 2×6/0.67 = 18 oz. The 3pi weighs about 7 oz with batteries, so the motors are
strong enough to lift the 3pi up a vertical slope or accelerate it at 2 g (twice the acceleration of gravity). The actual
performance is limited by the friction of the tires: on a steep enough slope, the wheels will slip before they stall – in
practice, this happens when the slope is around 30-40°.
Driving a motor with speed and direction control
One nice thing about a DC motor is that you can change the direction of rotation by switching the polarity of the
applied voltage. If you have a loose battery and motor, you can see this for yourself by making connections one way
and then turning the battery around to make the motor spin in reverse. Of course, you don’t want take the batteries out
of your 3pi and reverse them every time it needs to back up – instead, a special arrangement of four switches, called
an H-bridge, allows the motor to spin either backwards or forwards. Here is a diagram that shows how the H-bridge
works:
If switches 1 and 4 are closed (the center picture), current flows through the motor from left to right, and the motor
spins forward. Closing switches 2 and 3 causes the current to reverse direction and the motor to spin backward. An
H-bridge can be constructed with mechanical switches, but most robots, including the 3pi, use transistors to switch
the current electronically. The H-bridges for both motors on the 3pi are all built into a single motor driver chip, the
TB6612FNG, and output ports of the main microcontroller operate the switches through this chip. Here is a table
showing how output ports PD5 and PD6 on the microcontroller control the transistors of motor M1:
PD5PD61234M1
00offoffoffoffoff (coast)
01offononoffforward
10onoffoffonreverse
11offoffononoff (brake)
Motor M2 is controlled through the same logic by ports PD3 and PB3:
Speed control is achieved by rapidly switching the
motor between two states in the table. Suppose we
keep PD6 high (at 5 V, also called a logical “1”) and
have PD5 alternate quickly between low (0 V or “0”)
and high. The motor driver will switch between the
“forward” and “brake” states, causing M1 to turn
forward at a reduced speed. For example, if PD6 is
high two thirds of the time (a 67% duty cycle), then M1
will turn at approximately 67% of its full speed. Since
the motor voltage is a series of pulses of varying width,
this method of speed control is called pulse-width
modulation (PWM). An example series of PWM
pulses is shown in the graph at right: as the size of the
pulses decreases from 100% duty cycle down to 0%,
the motor speed decreases from full speed down to a
stop.
PWM speed control, showing gradual deceleration.
In the 3pi, speed control is accomplished using special PWM outputs of the main microcontroller that are linked to
the internal timers Timer0 and Timer2. This means that you can set the PWM duty cycle of the two motors once, and
the hardware will continue to produce the PWM signal, in the background, without any further attention.
The set_motors() function in the Pololu AVR Library (see Section 6 for more information) lets you set the duty
cycle, and it uses 8-bit precision: a value of 255 corresponds to 100% duty cycle. For example, to get 67% on M1 and
33% on M2, you would call
set_motors(171,84);
To get a slowly decreasing PWM sequence like the one shown in the graph, you would need to write a loop that
gradually decreases the motor speed over time.
Turning with a differential drive
The 3pi has an independent motor and wheel on each side, which enables a method of locomotion called differential
drive. It is also known as a “tank drive” since this is how a tank drives. It is completely unlike the steering system
of automobile, which uses a single drive motor and steerable front wheels. Turning with a differential drive is
accomplished by running the two motors at different speeds. In the previous set_motors() example, the left wheel
will spin faster than the right, driving the robot forward and to the right. The difference in speeds determines how
sharp the turn will be, and spinning in place can be accomplished by running one motor forward and one backward.
Spinning is an especially effective maneuver for a round robot, and you won’t have to worry about parallel parking!
The 3pi demonstrating the effects of various motor
settings.
5.d. Digital inputs and sensors
The microcontroller at the heart of the 3pi, an Atmel AVR mega168 or mega328, has a number of pins which can be
configured as digital inputs: they are read by your program as a 1 or a 0 depending on whether the voltage is high
(above about 3 V) or low (below about 1.5 V). Here is the circuit for one of the pushbutton inputs:
Normally, the pull-up resistor R (20-50 k) brings the voltage on the input pin to 5 V, so it reads as a 1, but pressing the
button connects the input to ground (0 V) through a 1 k resistor, which is much lower than the value of R. This brings
the input voltage very close to 0 V, so the pin reads as a 0. Without the pull-up resistor, the input would be “floating”
when the button is not pressed, and the value read could be affected by residual voltage on the line, interference from
nearby electrical signals, or even distant lightning. Don’t leave an input floating unless you have a good reason. Since
the pull-up resistors are important, they are included within the AVR – the resistor R in the picture represents this
internal pull-up, not a discrete part on the 3pi circuit board.
A more complicated use for the digital inputs is in the reflectance sensors. Here is the circuit for the 3pi’s leftmost
reflectance sensor, which is connected to pin PC0:
The sensing element of the reflectance sensor is the phototransistor shown in the left half of U4, which is connected in
series with capacitor C21. A separate connection leads through resistor R12 to pin PC0. This circuit takes advantage
of the fact the digital inputs of the AVR can be reconfigured as digital outputs on the fly. A digital output presents a
voltage of 5 V or 0 V, depending on whether it is set to a 1 or a 0 by your program. The way it works is that the pin
is set to an output and driven high (5 V) to charge the output node. The pin is then set to an input, and the voltage
falls as current flows through the phototransistor. Here is an oscilloscope trace showing the voltage on the capacitor
(yellow) dropping as current flows through the phototransistor, and the resulting digital input value of pin PC0 (blue):
The rate of current flow through the phototransistor depends on the light level, so that when the robot is over a bright
white surface, the value returns to 0 much more quickly than when it is over a black surface. The trace shown above
was taken when the sensor was on the edge between a black surface and a white one – this is what it looks like on
pure white:
The length of time that the digital input stays at 1 is very short when over white, and very long when over black. The
function read_line_sensors() in the Pololu AVR Library switches the port as described above and returns the time
for each of the five sensors. Here is a simplified version of the code that reads the sensors:
time = 0;
last_time = TCNT2;
while (time < _maxValue)
{
}
// Keep track of the total time.
// This implicity casts the difference to unsigned char, so
// we don't add negative values.
unsigned char delta_time = TCNT2 - last_time;
time += delta_time;
last_time += delta_time;
// continue immediately if there is no change
if (PINC == last_c)
continue;
// save the last observed values
last_c = PINC;
// figure out which pins changed
for (i = 0; i < _numSensors; i++)
{
if (sensor_values[i] == 0 && !(*_register[i] & _bitmask[i]))
sensor_values[i] = time;
}
This piece of code is found in the file src\PololuQTRSensors\PololuQTRSensors.cpp. The code makes use of timer
TCNT2, which is a special register in the AVR that we have configured to count up continuously, incrementing every
0.4 μs. Basically, the code waits until one of the sensors changes value, counting up the elapsed time in the variable
time. (It is important to use a separate variable for the elapsed time since the timer TCNT2 periodically overflows,
dropping back to zero.) Upon detecting a transition from a 1 to a 0 on one of the sensors (by measuring a change in
the input port PINC), the code determines which sensor changed and records the time in the array sensor_values[i].
After the time limit _maxValue is reached (this is set to 2000 by default on the 3pi, corresponding to 800 μs), the loop
ends, and the time values are returned.
5.e. 3pi Simplified Schematic Diagram
A full understanding of how your 3pi works cannot be achieved without first understanding its schematic diagram:
To do more with your 3pi than explore the demo program or use it as a serial slave to a master device, you will need
to program it, which requires a computer and an external AVR ISP programmer like our USB AVR programmer
[http://www.pololu.com/product/1300].
Please see the Pololu AVR Programming Quick Start Guide [http://www.pololu.com/docs/0J51] for tutorials on how to
get started programming your 3pi in Windows, Linux, and Mac OS X. That guide also covers the Pololu AVR C/C++
Library [http://www.pololu.com/docs/0J20] and the Pololu USB AVR Programmer.
Warning: Do not attempt to program your 3pi if its batteries are drained or uncharged (make sure you
charge any new rechargeable batteries fully before you first use them). Losing power during programming
could permanently disable your 3pi.
Now that you have learned how to compile a simple
program for the 3pi, it’s time to teach your robot do
something more complicated. In this example project,
we’ll show you how to make your 3pi follow a black line
on a white background, by coordinating its sensors and
motors. Line following is a great introduction to robot
programming, and it makes a great contest: it’s easy to
build a line-following course, the rules are simple to
understand, and it’s not hard to program your 3pi to follow
a line. Optimizing your program to make your 3pi zoom
down the line at the highest speed possible, however, is a
challenge that can introduce you to some advanced
programming concepts.
A great looking line following course can be constructed
for a few dollars in a couple of hours at home. For
information on building your own course, see our tutorial on Building Line Following and Line Maze Courses
[http://www.pololu.com/docs/0J22].
Pololu 3pi robot on a 3/4" black line.
7.b. A Simple Line-Following Algorithm for 3pi
A simple line following program for the 3pi is available in the folder examples\atmegaxx8\3pi-linefollower.
Note: An Arduino-compatible version of this sample program can be downloaded as part of the Pololu
Arduino Libraries [http://www.pololu.com/docs/0J17] (see Section 5.g).
The source code demonstrates a variety of different features of the 3pi, including the line sensors, motors, LCD,
battery voltage monitor, and buzzer. The program has two phases.
The first phase of the program is the initialization and calibration phase, which is handled by the function intitialize().
This function is called once, at the beginning of the main() function, before anything else happens, and it takes care
of the following steps:
1. Calling pololu_3pi_init(2000) to set up the 3pi, with the sensor timeout set to 2000×0.4 us = 800 us. This
means that the sensor values will vary from 0 (completely white) to 2000 (completely black), where a value of
2000 indicates that the sensor’s capacitor took at least 800 us to discharge.
2. Displaying the battery voltage returned by the read_battery_millivolts() function. It is important to monitor
battery voltage so that your robot does not surprisingly run out of batteries and shut down during the middle
of a competition or during programming. For more information, see Section 2 of the command reference
[http://www.pololu.com/docs/0J18].
3. Calibrating the sensors. This is accomplished by turning the 3pi to the right and left on the line while calling
the calibrate_line_sensors() function. The minimum and maximum values read during this time are stored in
RAM. This allows the read_line_sensors_calibrated() function to return values that are adjusted to range from
0 to 1000 for each sensor, even if some of your sensors respond differently than the others. The read_line()
7. Example Project #1: Line FollowingPage 22 of 63
function used later in the code also depends on having calibrated values. For more information, see Section 19
of the command reference [http://www.pololu.com/docs/0J18].
4. Displaying the calibrated line sensor values in a bar graph. This demonstrates the use of the
lcd_load_custom_character() function together with print_character() to make it easy to see whether the line
sensors are working properly before starting the robot. For more information on this and other LCD commands,
see Section 5 of the command reference [http://www.pololu.com/docs/0J18].
5. Waiting for the user to press a button. It’s very important for your robot not to start driving until you want
it to start, or it could unexpectedly drive off of a table or out of your hands when you are trying to program
it. We use the button_is_pressed() function to wait for you to press the B button while displaying the battery
voltage or sensor readings. For more information on button commands, see Section 9 of the command reference
[http://www.pololu.com/docs/0J18].
In the second phase of the program, your 3pi will take a sensor reading and set the motor speed appropriately based
on the reading. The general idea is that if the robot is off on either side, it should turn to get back on, but if it’s on the
line, it should try to drive straight ahead. The following steps occur inside of a while(1) loop, which will continue
repeating over and over until the robot is turned off or reset.
1. The function read_line() is called. This takes a sensor reading and returns an estimate of the robot’s position
with respect to the line, as a number between 0 and 4000. A value of 0 means that the line is to the left of sensor
0, value of 1000 means that the line is directly under sensor 1, 2000 means that the line is directly under sensor
2, and so on.
2. The value returned by read_line() is divided into three possible cases:
◦ 0–1000: the robot is far to the right of the line. In this case, to turn sharply left, we set the right motor
speed to 100 and the left motor speed to 0. Note that the maximum speed of the motors is 255, so we are
driving the right motor at only about 40% power here.
◦ 1000–3000: the robot is approximately centered on the line. In this case, we set both motors to speed
100, to drive straight ahead.
◦ 3000–4000: the robot is far to the left of the line. In this case, we turn sharply to the right by setting the
right motor speed to 0 and the left motor speed to 100.
3. Depending on which motors are activated, the corresponding LEDs are turned on for a more interesting
display. This can also help with debugging.
To open the program in Atmel Studio, you may go to examples\atmegaxx8\3pi-linefollower and simply doubleclick on 3pi-linefollower.cproj. Compile the program, load it onto your 3pi, and try it out. You should find that
your robot is able to follow the curves of your line course without ever completely losing the line. However, its
motors are moving at a speed of at most 100 out of the maximum possible of 255, and the algorithm causes a lot
of unnecessary shaking on the curves. At this point, you might want to work on trying to adjust and improve this
algorithm, before moving on to the next section. Some ideas for improvement are:
• Increase the maximum possible speed.
• Add more intermediate cases, with intermediate speed settings, to make the motion less jerky.
• Give your robot a memory: have its maximum speed increase after it has been on the line consistently for a
few cycles.
You might also want to:
• Measure the speed of your loop, using timing functions from Section 17 of the command reference
[http://www.pololu.com/docs/0J18] to time a few thousand cycles or by blinking the LEDs on and off every 1000
cycles.
7. Example Project #1: Line FollowingPage 23 of 63
• Display sensor readings on the LCD. Since writing to the LCD takes a significant amount of time, you should
do this at most few times per second.
• Incorporate the buzzer into your program. You might want your 3pi to play music while it is driving
or make informational beeps that depend on what it is doing. See Section 3 of the command reference
[http://www.pololu.com/docs/0J18] for more information on using the buzzer; for music, you’ll want to use the
PLAY_CHECK option to avoid disrupting your sensor readings.
The entire source code to this simple line following program is presented below, for your reference.
/*
* 3pi-linefollower - demo code for the Pololu 3pi Robot
*
* This code will follow a black line on a white background, using a
* very simple algorithm. It demonstrates auto-calibration and use of
* the 3pi IR sensors, motor control, bar graphs using custom
* characters, and music playback, making it a good starting point for
* developing your own more competitive line follower.
*
* http://www.pololu.com/docs/0J21
* http://www.pololu.com
* http://forum.pololu.com
*
*/
// The 3pi include file must be at the beginning of any program that
// uses the Pololu AVR library and 3pi.
#include <pololu/3pi.h>
// This include file allows data to be stored in program space. The
// ATmegaxx8 has 16x more program space than RAM, so large
// pieces of static data should be stored in program space.
#include <avr/pgmspace.h>
// Introductory messages. The "PROGMEM" identifier causes the data to
// go into program space.
const char welcome_line1[] PROGMEM = " Pololu";
const char welcome_line2[] PROGMEM = "3\xf7 Robot";
const char demo_name_line1[] PROGMEM = "Line";
const char demo_name_line2[] PROGMEM = "follower";
// A couple of simple tunes, stored in program space.
const char welcome[] PROGMEM = ">g32>>c32";
const char go[] PROGMEM = "L16 cdegreg4";
// Data for generating the characters used in load_custom_characters
// and display_readings. By reading levels[] starting at various
// offsets, we can generate all of the 7 extra characters needed for a
// bargraph. This is also stored in program space.
const char levels[] PROGMEM = {
};
// This function loads custom characters into the LCD. Up to 8
// characters can be loaded; we use them for 7 levels of a bar graph.
void load_custom_characters()
{
lcd_load_custom_character(levels+0,0); // no offset, e.g. one bar
lcd_load_custom_character(levels+1,1); // two bars
lcd_load_custom_character(levels+2,2); // etc...
lcd_load_custom_character(levels+3,3);
7. Example Project #1: Line FollowingPage 24 of 63
// This function displays the sensor readings using a bar graph.
void display_readings(const unsigned int *calibrated_values)
{
}
// Initializes the 3pi, displays a welcome message, calibrates, and
// plays the initial music.
void initialize()
{
clear(); // the LCD must be cleared for the characters to take effect
unsigned char i;
for(i=0;i<5;i++) {
// Initialize the array of characters that we will use for the
// graph. Using the space, an extra copy of the one-bar
// character, and character 255 (a full black box), we get 10
// characters in the array.
const char display_characters[10] = {' ',0,0,1,2,3,4,5,6,255};
// The variable c will have values from 0 to 9, since
// calibrated values are in the range of 0 to 1000, and
// 1000/101 is 9 with integer math.
char c = display_characters[calibrated_values[i]/101];
// Display the bar graph character.
print_character(c);
}
unsigned int counter; // used as a simple timer
unsigned int sensors[5]; // an array to hold sensor values
// This must be called at the beginning of 3pi code, to set up the
// sensors. We use a value of 2000 for the timeout, which
// corresponds to 2000*0.4 us = 0.8 ms on our 20 MHz processor.
pololu_3pi_init(2000);
load_custom_characters(); // load the custom characters
// Play welcome music and display a message
print_from_program_space(welcome_line1);
lcd_goto_xy(0,1);
print_from_program_space(welcome_line2);
play_from_program_space(welcome);
delay_ms(1000);
// Always wait for the button to be released so that 3pi doesn't
// start moving until your hand is away from it.
wait_for_button_release(BUTTON_B);
delay_ms(1000);
// Auto-calibration: turn right and left while calibrating the
// sensors.
for(counter=0;counter<80;counter++)
{
7. Example Project #1: Line FollowingPage 25 of 63
// This function records a set of sensor readings and keeps
// track of the minimum and maximum values encountered. The
// IR_EMITTERS_ON argument means that the IR LEDs will be
// turned on during the reading, which is usually what you
// want.
calibrate_line_sensors(IR_EMITTERS_ON);
// Since our counter runs to 80, the total delay will be
// 80*20 = 1600 ms.
delay_ms(20);
}
set_motors(0,0);
// Display calibrated values as a bar graph.
while(!button_is_pressed(BUTTON_B))
{
// Read the sensor values and get the position measurement.
unsigned int position = read_line(sensors,IR_EMITTERS_ON);
// Display the position measurement, which will go from 0
// (when the leftmost sensor is over the line) to 4000 (when
// the rightmost sensor is over the line) on the 3pi, along
// with a bar graph of the sensor readings. This allows you
// Play music and wait for it to finish before we start driving.
play_from_program_space(go);
while(is_playing());
}
// This is the main function, where the code starts. All C programs
// must have a main() function defined somewhere.
int main()
{
unsigned int sensors[5]; // an array to hold sensor values
// set up the 3pi
initialize();
// This is the "main loop" - it will run forever.
while(1)
{
// Get the position of the line. Note that we *must* provide
// the "sensors" argument to read_line() here, even though we
// are not interested in the individual sensor readings.
unsigned int position = read_line(sensors,IR_EMITTERS_ON);
if(position < 1000)
{
set_motors(40,-40);
set_motors(-40,40);
// We are far to the right of the line: turn left.
// Set the right motor to 100 and the left motor to zero,
// to do a sharp turn to the left. Note that the maximum
// value of either motor speed is 255, so we are driving
// it at just about 40% of the max.
set_motors(0,100);
// Just for fun, indicate the direction we are turning on
// the LEDs.
left_led(1);
7. Example Project #1: Line FollowingPage 26 of 63
// This part of the code is never reached. A robot should
// never reach the end of its program, or unpredictable behavior
// will result as random code starts getting executed. If you
// really want to stop all actions at some point, set your motors
// to 0,0 and run the following command to loop forever:
//
// while(1);
}
right_led(0);
// We are somewhat close to being centered on the line:
// drive straight.
set_motors(100,100);
left_led(1);
right_led(1);
// We are far to the left of the line: turn right.
set_motors(100,0);
left_led(0);
right_led(1);
7.c. Advanced Line Following with 3pi: PID Control
A more advanced line following program for the 3pi is available in the folder examples\atmegaxx8\3pi-
linefollower-pid.
Note: An Arduino-compatible version of this sample program can be downloaded as part of the Pololu
Arduino Libraries [http://www.pololu.com/docs/0J17] (see Section 5.g).
The technique used in this example program, known as PID control, addresses some of the problems that you might
have noticed with the previous example, and it should allow you to greatly increase your robot’s line following speed.
Most importantly, PID control uses continuous functions to compute the motor speeds, so that the jerkiness of the
previous example can be replaced by a smooth response. PID stands for Proportional, Integral, Derivative; these are
the three input values used in a simple formula to compute the speed that your robot should turn left or right.
• The proportional value is approximately proportional to your robot’s position with respect to the line. That
is, if your robot is precisely centered on the line, we expect a proportional value of exactly 0. If it is to the left of
the line, the proportional term will be a positive number, and to the right of the line, it will be negative. This is
computed from the result returned by read_line() simply by subtracting 2000.
• The integral value records the history of your robot’s motion: it is a sum of all of the values of the
proportional term that were recorded since the robot started running.
• The derivative is the rate of change of the proportional value. We compute it in this example as the difference
of the last two proportional values.
Here is the section of code that computes the PID input values:
// Get the position of the line. Note that we *must* provide
// the "sensors" argument to read_line() here, even though we
// are not interested in the individual sensor readings.
unsigned int position = read_line(sensors,IR_EMITTERS_ON);
// The "proportional" term should be 0 when we are on the line.
int proportional = ((int)position) - 2000;
7. Example Project #1: Line FollowingPage 27 of 63
// Compute the derivative (change) and integral (sum) of the
// position.
int derivative = proportional - last_proportional;
integral += proportional;
// Remember the last position.
last_proportional = proportional;
Note that we cast the variable position to an int type in the formula for proportional. An unsigned int can only
store positive values, so the expression position-2000, without casting, would lead to a negative overflow. In this
particular case, it actually wouldn’t affect the results, but it is always a good idea to use casting to avoid unexpected
behavior.
Each of these input values provides a different kind of information. The next step is a simple formula that combines
all of the values into one variable, which is then used to determine the motor speeds:
// Compute the difference between the two motor power settings,
// m1 - m2. If this is a positive number the robot will turn
// to the right. If it is a negative number, the robot will
// turn to the left, and the magnitude of the number determines
// the sharpness of the turn.
int power_difference = proportional/20 + integral/10000 + derivative*3/2;
// Compute the actual motor settings. We never set either motor
// to a negative value.
const int max = 60;
if(power_difference > max)
if(power_difference < -max)
if(power_difference < 0)
else
power_difference = max;
power_difference = -max;
set_motors(max+power_difference, max);
set_motors(max, max-power_difference);
The values 1/20, 1/10000, and 3/2 represent adjustable parameters that determine how your 3pi will react to the line.
The particular values chosen for this example were somewhat arbitrarily picked, and while they work sufficiently for
typical line following, there is plenty of room to improve them. In general, increasing these PID parameters will make
power_difference larger, causing stronger reactions, while decreasing them will make the reactions weaker. It’s up
to you to think about the different values and experiment with your robot to determine what effect each parameter has.
This example gives the motors a maximum speed of 100, which is a safe initial value. Once you have adjusted the
parameters to work well at a speed of 100, try increasing the speed. You’ll probably need to readjust the parameters
as the maximum speed increases. By gradually increasing the maximum speed and tuning the parameters, see if you
can get your 3pi to run as fast as possible! We have been able to run 3pis with a maximum speed of 255 on courses
with 6"-radius curves, all by finding the right PID parameters.
Please see Section 2 of the 3pi robot videos [http://www.pololu.com/docs/0J32] gallery for videos of 3pi line followers
using tuned PID and higher maximum speeds.
7. Example Project #1: Line FollowingPage 28 of 63
The next step up from simple line following is to teach
your 3pi to navigate paths with sharp turns, dead ends, and
intersections. Make a complicated network of intersecting
black lines, add a circle to represent the goal, and you have
a line maze, which is a challenging environment for a
robot to explore. In a line maze contest, robots travel as
quickly as possible along the lines from a designated start
to the goal, keeping track of the intersections that they pass
along the way. Robots are given several chances to run the
maze, so that they can follow the fastest possible path after
learning about all of the dead ends.
The mazes that we will teach you to solve in this tutorial
have one special feature: they have no loops. That is, there
is no way to re-visit any point on the maze without
retracing your steps. Solving this type of maze is much easier than solving a looped maze, since a simple strategy
allows you to explore the entire maze. We’ll talk about that strategy in the next section.
We also usually construct our mazes using only straight lines drawn on a regular grid, but this is mostly just to make
the course easy to reproduce – the maze-solving strategy described in this tutorial does not require these features.
For information on building your own course, see our tutorial on Building Line Following and Line Maze Courses
[http://www.pololu.com/file/download/line-maze-algorithm.pdf?file_id=0J195] (505k pdf) written by customer (and robotics
professor) R. Vannoy. It doesn’t include any code, but it goes over some important concepts and contains a number of
visuals to help illustrate the important points.
8.b. Working with Multiple C Files in Atmel Studio
The C source code for an example line maze solver is available in the folder examples\atmegaxx8\3pi-mazesolver.
Note: An Arduino-compatible version of this sample program can be downloaded as part of the Pololu
Arduino Libraries [http://www.pololu.com/docs/0J17] (see Section 5.g) The Arduino sample sketch is all
contained within a single file.
This program is much more complicated than the examples you have seen so far, so we have split it up into multiple
files. Using multiple files makes it easier for you to keep track of your code. For example, the file turn.c contains
only a single function, used to make turns at the intersections:
#include <pololu/3pi.h>
// Turns according to the parameter dir, which should be 'L', 'R', 'S'
// (straight), or 'B' (back).
void turn(char dir)
{
The first line of the file, like any C file that you will be writing for the 3pi, contains an include command that gives
you access to the functions in the Pololu AVR Library. Within turn(), we then use the library functions delay_ms() and
set_motors() to perform left turns, right turns, and U-turns. Straight “turns” are also handled by this function, though
they don’t require us to take any action. The motor speeds and the timings for the turns are parameters that needed to
be adjusted for the 3pi; as you work on making your maze solver faster, these are some of the numbers that you might
need to adjust.
To access this function from other C files, we need a “header file”, which is called turn.h. The header file just
contains a single line:
void turn(char dir);
This line declares the turn() function without actually including a copy of its code. To access the declaration, each C
file that needs to call turn() adds the following line:
#include "turn.h"
Note the double-quotes being used instead of angle brackets. This signifies to the C compiler that the header file is
in the project directory, rather than being a system header file like 3pi.h. Always remember to put the code for your
functions in the C file instead of the header file! If you do it the other way, you will be making a separate copy of the
code in each file that includes the header.
The file follow-segment.c also contains a single function, follow_segment(), which will drive 3pi straight along a
line segment until it reaches an intersection or the end of the line. This is almost the same as the line following code
discussed in Section 7, but with extra checks for intersections and the ends of lines. Here is the function:
void follow_segment()
{
int last_proportional = 0;
long integral=0;
while(1)
{
// Normally, we will be following a line. The code below is
// similar to the 3pi-linefollower-pid example, but the maximum
// speed is turned down to 60 for reliability.
// Get the position of the line.
unsigned int sensors[5];
unsigned int position = read_line(sensors,IR_EMITTERS_ON);
// There is no line visible ahead, and we didn't see any
// intersection. Must be a dead end.
return;
// Found an intersection.
return;
Between the PID code and the intersection detection, there are now about six more parameters that could be adjusted.
We’ve picked values here that allow 3pi to solve the maze at a safe, controlled speed; try increasing the speed and
you will quickly run in to lots of problems that you’ll have to handle with more complicated code.
Putting the C files and header files into your project is easy with Atmel Studio. On the right side of your screen, in
the “Solution Explorer” pane, you should see a list of files in your project. Right click on the name of your project
and you will have the option to add files to the list. When you build your project, Atmel Studio will automatically
compile all C files in the project together to produce a single hex file.
8.c. Left Hand on the Wall
The basic strategy for solving a non-looped maze is called “left hand on the wall”. Imagine walking through a real
labyrinth – a human-sized maze built with stone walls – while keeping your left hand on the wall at all times. You’ll
turn left whenever possible and only turn right at an intersection if there is no other exit. Sometimes, when you reach
a dead end, you’ll turn 180 degrees to the right and start walking back the way you came. Eventually, as long as there
are no loops, your hand will travel along each length of wall in the entire labyrinth exactly once, and you’ll find your
way back to the entrance. If there is a room somewhere in the labyrinth with a monster or some treasure, you’ll find
that on the way, since you’ll travel down every hallway exactly twice. We use this simple, reliable strategy in our 3pi
maze solving example:
// This function decides which way to turn during the learning phase of
// maze solving. It uses the variables found_left, found_straight, and
// found_right, which indicate whether there is an exit in each of the
// three directions, applying the "left hand on the wall" strategy.
char select_turn(unsigned char found_left, unsigned char found_straight,
unsigned char found_right)
{
}
// Make a decision about how to turn. The following code
// implements a left-hand-on-the-wall strategy, where we always
// turn as far to the left as possible.
if(found_left)
return 'L';
else if(found_straight)
return 'S';
else if(found_right)
return 'R';
else
return 'B';
The values returned by select_turn() correspond to the values used by turn(), so these functions will work nicely
together in our main loop.
8.d. The Main Loop(s)
The strategy of our program is expressed in the file maze-solve.c. Most importantly, we want to keep track of the
path that we have followed, so we define an array storing up to 100; these will be the same characters used in the
turn() function. We also need to keep track of the current path length so that we know where to put the characters in
the array.
char path[100] = "";
unsigned char path_length = 0; // the length of the path
Our “main loop” is found in the function maze_solve(), which is called after calibration, from main.c. This function
actually includes two main loops – a first one that handles solving the maze, and a second that replays the solution for
the fastest possible time. In fact, the second loop is actually a loop within a loop, since we want to be able to replay
the solution many times. Here’s an outline of the code:
// This function is called once, from main.c.
void maze_solve()
{
while(1)
{
// FIRST MAIN LOOP BODY
// (when we find the goal, we use break; to get out of this)
}
// Now enter an infinite loop - we can re-run the maze as many
// times as we want to.
while(1)
{
// Beep to show that we finished the maze.
// Wait for the user to press a button...
int i;
for(i=0;i<path_length;i++)
{
// SECOND MAIN LOOP BODY
}
// Follow the last segment up to the finish.
follow_segment();
// Now we should be at the finish! Restart the loop.
The first main loop needs to drive down a segment of the course, decide how to turn, and record the turn in the path
variable. To pass the correct arguments to select_turn(), we need to carefully examine the intersection as we cross it.
Note that there is a special exception for finding the end of the maze. The following code works pretty well, at least
at the slow speeds that we’re using:
// FIRST MAIN LOOP BODY
follow_segment();
// Drive straight a bit. This helps us in case we entered the
// intersection at an angle.
// Note that we are slowing down - this prevents the robot
// from tipping forward too much.
set_motors(50,50);
delay_ms(50);
// These variables record whether the robot has seen a line to the
// left, straight ahead, and right, whil examining the current
// intersection.
unsigned char found_left=0;
unsigned char found_straight=0;
unsigned char found_right=0;
// Now read the sensors and check the intersection type.
unsigned int sensors[5];
read_line(sensors,IR_EMITTERS_ON);
// Check for left and right exits.
if(sensors[0] > 100)
if(sensors[4] > 100)
// Drive straight a bit more - this is enough to line up our
We’ll discuss the call to simplify_path() in the next section. Before that, let’s take a look at the second main loop,
which is very simple. All we do is drive to the next intersection and turn according to our records. After doing the last
recorded turn, the robot will be one segment away from the finish, which explains the final follow_segment() call in
the outline of maze_solve() above.
// SECOND MAIN LOOP BODY
follow_segment();
// Drive straight while slowing down, as before.
set_motors(50,50);
delay_ms(50);
set_motors(40,40);
delay_ms(200);
// Make a turn according to the instruction stored in
// path[i].
turn(path[i]);
8.e. Simplifying the Solution
After every turn, the length of the recorded path increases by 1. If your maze, for example, has a long zigzag
passageway with no side exits, you’ll see a sequence like ‘RLRLRLRL’ appear on the 3pi’s LCD. There’s no shortcut
that would get you through this section of the path faster than just following the left hand on the wall strategy.
However, whenever we encounter a dead end, we can simplify the path to something shorter.
Consider the sequence ‘LBL’, where ‘B’ stands for “back” and is the action taken when a dead end is encountered.
This is what happens if there is a left turn that branches off of a straight path and leads immediately to a dead end.
After turning 90° left, 180°, and 90° left again, the net effect is that the robot is heading in its original direction again.
The path can be simplified to a 0° turn: a single ‘S’. The following diagram depicts this scenario, showing the two
functionally equivalent paths from start to end:
Another example is a T-intersection with a dead end on the left: ‘LBS’. The turns are 90° left, 180°, and 0°, for a total
of 90° right. The sequence should be replaced with a single ‘R’.
In fact, whenever we have a sequence like ‘xBx’, we can replace all three turns with a turn corresponding to the total
angle, eliminating the U-turn and speeding up our solution. Here’s the code to handle this:
// Path simplification. The strategy is that whenever we encounter a
// sequence xBx, we can simplify it by cutting out the dead end. For
// example, LBL -> S, because a single S bypasses the dead end
// represented by LBL.
void simplify_path()
{
}
// only simplify the path if the second-to-last turn was a 'B'
if(path_length < 3 || path[path_length-2] != 'B')
return;
int total_angle = 0;
int i;
for(i=1;i<=3;i++)
{
switch(path[path_length-i])
{
case 'R':
total_angle += 90;
break;
case 'L':
total_angle += 270;
break;
case 'B':
total_angle += 180;
break;
}
}
// Get the angle as a number between 0 and 360 degrees.
total_angle = total_angle % 360;
// Replace all of those turns with a single one.
switch(total_angle)
{
case 0:
path[path_length - 3] = 'S';
break;
case 90:
path[path_length - 3] = 'R';
break;
case 180:
path[path_length - 3] = 'B';
break;
case 270:
path[path_length - 3] = 'L';
break;
}
// The path is now two steps shorter.
path_length -= 2;
One interesting point about this code is that there are some sequences that should never be encountered by a leftturning robot, like ‘RBR’, which would be replaced by ‘S’ according to this code. In a more advanced program, you
might want to keep track of inconsistencies like this, since they indicate some kind of a problem that could cause the
robot to get lost.
Now let’s step through a slightly more complicated maze, showing how we can simplify the path as we explore it:
Fully explore the maze using a left-hand-on-the-wall strategy.
The above list of actions is a record of all the steps we took to fully explore the maze while looking for the end,
which is marked by the large black circle. Our goal is to now reduce this list to represent the shortest path from start
to finish by weeding out all of the dead ends. One option is to perform this pruning when we finish the maze, but the
better approach is to perform the pruning as we go to keep our list from growing excessively large and taking up more
memory than we have available.
When we encounter the first intersection after our first “back” action, we know we have reached a dead end that can
be removed from our list of actions. In this case, the most recent actions in our list is the sequence ‘SBL’, and the
diagram shows that this sequence can be simplified into a single right turn ‘R’.
Prune out the rest of this dead-end branch as we back-track.
We next end up with the sequence ‘RBL’, which reduces to a single back ‘B’, and this combines with the next action
to produce the sequence ‘LBL’, which reduces to a single straight ‘S’.
Prune out the final dead-end branch to leave us with the shortest path from start to finish.
The last dead end gives us the sequence ‘SBL’, which reduces to a sigle right turn ‘R’. Our action list is now just ‘R’
and represents the shortest path from start to finish.
As we drove the maze, our action list would have looked like the following:
1. L
2. LS
3. LSB
4. LSBL => LR (pruning occurs here)
5. LRB
6. LRBL => LB (pruning occurs here)
7. LBL => S (pruning occurs here)
8. SB
9. SBL => R (pruning occurs here)
8.f. Improving the Maze-Solving Code
We have gone over the most important parts of the code; the other bits and pieces (like the function display_path(),
the start-up sequence and calibration, etc.) can be found with everything else in the folder examples\atmegaxx8\3pi-
mazesolver. After you have the code working and you understand it well, you should try to improve your robot to be
as fast as possible. There are many things you can do to try to make it better:
• Identifying situations where the robot has gotten lost.
• Adjusting the speed based on what is coming up; e.g. driving straight through an ‘S’ at full speed.
The following video shows a 3pi prototype—it only has one blue power LED, but it is otherwise functionally identical
to the final version—that we programmed to compete in LVBots Challenge 4.0. The code is more advanced (and
complicated) than the sample maze-solving code we have just provided. Improvements over the sample program
include a higher base running speed with better-tuned line-following PID constants, faster and smoother turns, and
increased speed on long straight segments.
When we were trying to improve the 3pi’s maze performance, our first step was to improve its line-following ability
by better tuning the PID constants as we slowly increased the robot’s maximum speed, and our second step was to
improve the turns to be faster and smoother. Very quickly, however, we noticed that further speed improvement was
being limited by the intersections. If the robot was moving too quickly when it hit them, it would invariably screw
up somewhere. Going slowly enough to survive the intersections led to unnecessarily slow driving on long straight
segments, however.
Our solution was to time the length of every segment the robot encountered during the learning phase. The code
would reset the timer at an intersection and then stop it when the 3pi hit the following intersection. As the program
stored an array of visited intersections, it also stored the segment times in a parallel array, producing something like:
{ L, S, S, R, L, ... }
{ 3, 3, 6, 5, 8, ... }
The top array gives the action performed at each visited intersection (L = turned left, S = went straight, R = turned
right), and the bottom array gives the amount of time spent driving along the segment that directly led to that
intersection. The units of the segment times were chosen to provide numbers that can allow the robot to meaningfully
differentiate between longer and shorter segments but that never exceed 255 for any segment in the maze. This second
restriction means that the values can be stored in an array of unsigned chars (i.e. each segment’s time takes up just
one byte of memory), which helps keep memory usage down. The ATmega168 has just 1024 bytes of RAM, so it’s
important that applications like this store data in an efficient way that leaves enough room for the stack, which is also
stored in RAM. A good rule of thumb is to leave 300 – 400 bytes of RAM available for the stack and data used by
the Pololu AVR library (or more if you have some deeply nested functions or functions with a lot of local variables).
Note that the ATmega328 has 2048 bytes of RAM, which gives you a bit more room for your data.
Once the 3pi has learned the maze, the maze-driving algorigthm is essentially:
1. If the robot is going straight at the next intersection, drive the current segment at high speed; don’t even
worry about slowing down until we know we have an intersection coming up that will require a turn.
2. Otherwise, drive the current segment at high speed until time T has elapsed, at which point slow back down
to normal speed until the next intersection is reached.
The value T is computed from a function that uses the previously measured segment “length”. For short segments, T
is negative and the 3pi just drives the entire segment at normal speed. For longer segments, T is positive and causes
the 3pi to drive most of the segment at high speed before slowing down just in time to handle the intersection safely.
We came up with a function for T on paper and then ran a series of tests to get the various constants right.
Typically, one might use encoders to measure the lengths of the segments. We were able to just use timing on the
3pi, however, because of the 3pi’s power system, which uses a regulated voltage for the motors and produces highly
repeatable results. With a more traditional power system, motor speed would decrease as the batteries discharge, and
a timing approach like this would potentially produce unreliable results. For example, if you were to use a robot with
a more traditional power system, the function you come up with for T when the batteries are freshly charged might
work poorly when they are nearly drained.
Tip: Once you start significantly increasing your maze-solving speed, performance becomes dependent on the
traction of the tires. Unfortunately, traction decreases over time as the tires pick up dust and dirt from the course. Our
fast maze solver needs to have its tires cleaned every few runs or else it starts fishtailing on the turns, which slows it
down and can even cause it to mess up. You can see the effects of this on the second (solution) run of the video (the
tires hadn’t been cleaned recently). You can easily clean the tires by wiping them with a little rubbing alcohol on a
paper towel.
The Pololu AVR library (see Section 6) comes with an example serial slave program for the 3pi in libpololu-
avr\examples\atmegaxx8\3pi-serial-slave, and a corresponding serial master program in libpololuavr\examples\atmegaxx8\3pi-serial-master. This example shows how to use a ring buffer in SERIAL_CHECK
mode to continuously receive and interpret a simple set of commands. The commands control various features of
the 3pi, making it possible to use the 3pi as a “smart base” controlled by another processor. It is easy to add more
commands yourself or adapt the library to work on a different board.
Note that we offer several basic expansion kits on which you can mount such a secondary microcontroller and
additional electronics: black with cutouts [http://www.pololu.com/product/979] that let you view the LCD underneath,
black without cutouts [http://www.pololu.com/product/978] that replaces the LCD and maximizes prototyping space, red
with cutouts [http://www.pololu.com/product/977], and red without cutouts [http://www.pololu.com/product/976].
The following two pictures show the black version with cutouts mounted on a 3pi robot:
We also offer a more advanced expansion kit [http://www.pololu.com/product/2152] that lets you turn your 3pi robot
into an m3pi robot. The m3pi expansion kit has sockets for additional electronics, making it simple to significantly
increase the capabilities of your 3pi. One socket let’s you use a powerful mbed development board
[http://www.pololu.com/product/2150] as a high-level robot controller (by issuing serial commands to the 3pi base while it
is running its serial slave program), and another socket can be used for a the easy addition of a wireless serial module
(XBee, Wixel [http://www.pololu.com/product/1337], Bluetooth, etc). Please note that the m3pi robot is also available fully
assembled. Please see the m3pi robot product page [http://www.pololu.com/product/2151] for more information.
Pololu m3pi expansion kit.
Pololu m3pi robot controlled by an ARM
mbed development board.
Complete documentation of the serial functions used here can be found in Section 10 of the Pololu AVR Library
This slave program receives serial data on port PD0 (RX) of the 3pi and transmits responses (when necessary) on
port PD1 (TX), using a 115.2 kbaud, TTL-level serial protocol. In this example, there are no parity bits, 8 data bits,
and one stop bit (N81). The commands implemented here each consist of a single command byte followed by zero or
more data bytes. To make it easy to differentiate the command bytes from the data bytes, the command bytes are all
in the range 0x80-0xff, while the data bytes are in the range 0x00-0x7f. That is, the command bytes have their most
significant bits set, while the data bytes have that bit unset.
Some commands result in the 3pi sending data back out to the controlling device. For commands where integers are
sent back, the least significant byte is sent first (little endian).
If bad commands or data bytes are detected, the slave program beeps and displays an error message on the LCD. This
means that if you are using the expansion kit without cutouts [http://www.pololu.com/product/978], you should probably
remove the LCD-related commands before loading the program onto your 3pi.
The following commands are recognized by the slave program:
0xB1battery millivolts02Sends the battery voltage of the 3pi in mV, as a two-byte int
0xB3play music2-101 0
0xB4calibrate010
Command
Data
bytes
Response
bytes
Description
Sends the slave name and code version, e.g. “3pi1.0”. This
command also sets motor speeds to 0 and stops PID line
following, if active, so it is useful as an initialization
command.
Reads all five IR sensors and sends the raw values as a
sequence of two-byte ints, in the range 0-2000
Reads all five IR sensors and sends calibrated values as a
sequence of two-byte ints, in the range 0-1000
Sends the voltage output of the trimpot as a two-byte int, in
the range 0-1023
Plays a tune specified by a string of musical commands. The
first data byte specifies the length of the following string
(max length 100), so that the slave program knows how
many more data bytes to read. See the play() command
in Section 3 of the Pololu AVR Library Command
Reference for a description of the musical command format.
Performs one round of calibration on the sensors, reads all
five IR sensors, and sends calibrated values as a sequence
of two-byte ints, in the range 0-1000. This should be called
multiple times, as the robot moves over a range from white
to black.
Resets the calibration. This should always be used when
0xB5reset calibration00
0xB6line position02
0xB7clear LCD00Clears the LCD screen on the 3pi.
0xB8print2-90
0xB9LCD goto xy20
connecting to a slave, in case the master reset without a slave
reset, for example in case of a power glitch.
Reads all five IR sensors using calibrated values and
estimates the position of a black line under the robot. The
value, which is sent back as a two-byte integer, is 0 when the
line is under sensor PC0 or farther to the left, 1000 when the
line is directly under sensor PC1, up to 4000 when it is under
sensor PC4 or farther to the right. See Section 19 of of the
Pololu AVR Library Command Reference for the formula
used to estimate position.
Prints 1-8 characters to the LCD. The first byte is the length
of the following string of characters, as with the play
command above.
Moves the LCD cursor to x-y coordinates given by the next
two bytes.
Turns the robot left and right while calibrating. For use when
0xBAautocalibrate01
the robot it positioned over a line. Returns the character ‘c’
when complete.
Sets up PID parameters and begins line following. The first
data byte sets the maximum motor speed. The next four
bytes, a, b, c, and d, represent the PID parameters.
0xBBstart PID50
Specifically, the difference in the motor speeds will be set to
(L-2000)×a/b + D×c/d, where L is the position of the line as
described above, and D is the derivative of L. The integral
term is not implemented in this program. See Section 7.c for
more information on PID line following.
0xBCstop PID00Stops PID line following, setting motor speeds to 0.
0xC1M1 forward10
0xC2M1 backward10
0xC5M2 forward10
0xC6M2 backward10
Sets motor M1 turning forward with a speed of 0 (off) up to
127 (full speed).
Sets motor M1 turning backward with a speed of 0 (off) up
to 127 (full reverse).
Sets motor M2 turning forward with a speed of 0 (off) up to
127 (full speed).
Sets motor M2 turning backward with a speed of 0 (off) up
to 127 (full reverse).
Source code
#include <pololu/3pi.h>
/*
* 3pi-serial-slave - An example serial slave program for the Pololu
* 3pi Robot. See the following pages for more information:
*
* http://www.pololu.com/docs/0J21
* http://www.pololu.com/docs/0J20
* http://www.poolu.com/
*
*/
serial_set_mode(SERIAL_AUTOMATIC);
unsigned int position = read_line(sensors, IR_EMITTERS_ON);
serial_set_mode(SERIAL_CHECK);
// The "proportional" term should be 0 when we are on the line.
int proportional = ((int)position) - 2000;
// Compute the derivative (change) of the position.
int derivative = proportional - last_proportional;
// Remember the last position.
last_proportional = proportional;
// Compute the difference between the two motor power settings,
// m1 - m2. If this is a positive number the robot will turn
// to the right. If it is a negative number, the robot will
// turn to the left, and the magnitude of the number determines
// the sharpness of the turn.
int power_difference = proportional*p_num/p_den + derivative*p_num/p_den;
// Compute the actual motor settings. We never set either motor
// to a negative value.
if(power_difference > max_speed)
if(power_difference < -max_speed)
if(power_difference < 0)
else
}
// A global ring buffer for data coming in. This is used by the
// read_next_byte() and previous_byte() functions, below.
char buffer[100];
// A pointer to where we are reading from.
unsigned char read_index = 0;
// Waits for the next byte and returns it. Runs play_check to keep
// the music playing and serial_check to keep receiving bytes.
// Calls pid_check() to keep following the line.
char read_next_byte()
{
// Returns true if and only if the byte is a data byte (< 0x80).
char is_data(char byte)
{
}
// If it's not a data byte, beeps, backs up one, and returns true.
char check_data_byte(char byte)
{
}
/////////////////////////////////////////////////////////////////////
// COMMAND FUNCTIONS
//
// Each function in this section corresponds to a single serial
// command. The functions are expected to do their own argument
// handling using read_next_byte() and check_data_byte().
// Sends the version of the slave code that is running.
// This function also shuts down the motors and disables PID, so it is
// useful as an initial command.
void send_signature()
{
}
// Reads the line sensors and sends their values. This function can
// do either calibrated or uncalibrated readings. When doing calibrated readings,
// it only performs a new reading if we are not in PID mode. Otherwise, it sends
// the most recent result immediately.
void send_sensor_values(char calibrated)
{
}
// Sends the raw (uncalibrated) sensor values.
void send_raw_sensor_values()
{
}
// Sends the calibated sensor values.
void send_calibrated_sensor_values()
{
}
// Computes the position of a black line using the read_line()
// function, and sends the value.
// Returns the last value computed if PID is running.
void send_line_position()
{
// Goes to the x,y coordinates on the lcd specified by the two data bytes
void do_lcd_goto_xy()
{
}
// Runs through an automatic calibration sequence
void auto_calibrate()
{
unsigned char tune_length = read_next_byte();
if(check_data_byte(tune_length))
return;
unsigned char i;
for(i=0;i<tune_length;i++)
{
if(i > sizeof(music_buffer)) // avoid overflow
return;
music_buffer[i] = read_next_byte();
if(check_data_byte(music_buffer[i]))
return;
}
// add the end of string character 0
music_buffer[i] = 0;
play(music_buffer);
clear();
unsigned char string_length = read_next_byte();
if(check_data_byte(string_length))
return;
unsigned char i;
for(i=0;i<string_length;i++)
{
unsigned char character;
character = read_next_byte();
if(check_data_byte(character))
return;
// Before printing to the LCD we need to go to AUTOMATIC mode.
// Otherwise, we might miss characters during the lengthy LCD routines.
serial_set_mode(SERIAL_AUTOMATIC);
print_character(character);
serial_set_mode(SERIAL_CHECK);
}
unsigned char x = read_next_byte();
if(check_data_byte(x))
return;
unsigned char y = read_next_byte();
if(check_data_byte(y))
// wait for a command
char command = read_next_byte();
// The list of commands is below: add your own simply by
// choosing a command byte and introducing another case
// statement.
switch(command)
{
case (char)0x00:
A serial master program used to control the serial slave program is included with the Pololu AVR Library (see Section
6) in libpololu-avr\examples\atmegaxx8\3pi-serial-master. The program is designed to run on an Orangutan
SV-xx8 [http://www.pololu.com/product/1227], LV-168 [http://www.pololu.com/product/775], or 3pi as a demonstration of what
is possible, but you will probably want to adapt it for your own controller. To use the program, make the following
connections between your master and slave:
Turn on both master and slave. The master will display a “Connect” message followed by the signature of the slave
source code (e.g. “3pi1.0”). The master will then instruct the slave to display “Connect” and play a short tune.
Pressing the B botton on the master causes the slave to go through an auto-calibration routine, after which you can
drive the slave around using the A and C buttons on the master, while viewing sensor data on the master’s LCD.
Holding down the B button causes the slave to do PID line following.
Source code
#include <pololu/orangutan.h>
#include <string.h>
/*
* 3pi-serial-master - An example serial master program for the Pololu
* 3pi Robot. This can run on any board supported by the library;
* it is intended as an example of how to use the master/slave
* routines.
*
* http://www.pololu.com/docs/0J21
* http://www.pololu.com/docs/0J20
* http://www.poolu.com/
*/
// Data for generating the characters used in load_custom_characters
// and display_readings. By reading levels[] starting at various
// offsets, we can generate all of the 7 extra characters needed for a
// bargraph. This is also stored in program space.
const char levels[] PROGMEM = {
};
// This function loads custom characters into the LCD. Up to 8
// characters can be loaded; we use them for 6 levels of a bar graph
// plus a back arrow and a musical note character.
void load_custom_characters()
{
}
// 10 levels of bar graph characters
const char bar_graph_characters[10] = {' ',0,0,1,2,3,3,4,5,255};
lcd_load_custom_character(levels+0,0); // no offset, e.g. one bar
lcd_load_custom_character(levels+1,1); // two bars
lcd_load_custom_character(levels+2,2); // etc...
lcd_load_custom_character(levels+4,3); // skip level 3
lcd_load_custom_character(levels+5,4);
lcd_load_custom_character(levels+6,5);
clear(); // the LCD must be cleared for the characters to take effect
clear();
int i;
for(i=0;i<5;i++) {
// Initialize the array of characters that we will use for the
// graph. Using the space, an extra copy of the one-bar
// character, and character 255 (a full black box), we get 10
// characters in the array.
// The variable c will have values from 0 to 9, since
// values are in the range of 0 to 1000, and 1000/101 is 9
// with integer math.
char c = bar_graph_characters[sensors[i]/101];
// Display the bar graph characters.
}
}
// set the motor speeds
void slave_set_motors(int speed1, int speed2)
{
// clear the slave's LCD and display "Connect" and "OK" on two lines
// Put OK in the center to test x-y positioning
slave_clear();
slave_print("Connect");
slave_lcd_goto_xy(3,1);
slave_print("OK");
// play a tune
char tune[] = "\xB3 l16o6gab>c";
tune[1] = sizeof(tune)-3;
serial_send_blocking(tune,sizeof(tune)-1);
The easiest way to expand your 3pi’s capabilities is probably to turn your 3pi into a “smart base” that is controlled
by the microcontroller of your choosing, as described in Section 10.a. This allows you to connect your additional
electronics to your secondary microcontroller and only requires you to make connections to pins PD0 and PD1 on the
3pi. These two pins are completely unused digital I/O lines that connect to the ATmegaxx8’s UART module when that
module is enabled. You can freely use PD0 and PD1 for general-purpose digital I/O, or you can use them for serial
communication with another microcontroller, a serially-controlled device, or a computer (note that you will need to
convert the signal to RS-232 levels or USB to communicate with a computer).
In addition to PD0 and PD1, the 3pi robot has a limited number of I/O lines that can be used as inputs for additional
sensors or to control additional electronics such as LEDs or servos. These I/O lines can be accessed through the pads
at the center of the 3pi, between the two motors, labeled PD0, PD1, ADC6, ADC7, and PC5. If you are using an
expansion kit, these lines are brought up to the expansion PCB.
Pins PC5, ADC6, and ADC7 are all connected to 3pi hardware via removable shorting blocks. By removing the
shorting block, you can use these pins for your own electronics. Pin PC5 can be used as either a digital I/O or an
analog input. When its shorting block is in place, it controls the emitters for the IR sensors; when its shorting block is
removed, the emitters are always on. Pin ADC6 is a dedicated analog input that connects to a voltage divider circuit
that monitors the battery voltage when its shorting block is in place, and pin ADC7 is a dedicated analog input that
connects to the user trimmer potentiometer when its shorting block is in place.
Note: If you call the Pololu AVR library’s sensor reading functions, the 3pi will drive pin PC5 high for
the duration of the sensor read, and it will then drive pin PC5 low. It does this even if the PC5 shorting
block is removed. If this behavior will interfere with what you want to connect to PC5, you can modify
the library code to initialize the sensors with a bogus emitter pin (e.g. 20 instead of 19).
If you are willing to give up the LCD, as is required when you use the expansion kit without cutouts
[http://www.pololu.com/product/978], you gain access to several more I/O lines. Removing the LCD completely frees the
three LCD control pins (PB0, PD2, and PD4), and it makes the four LCD data pins (PB1, PB4, PB5, and PD7)
available for limited use. If you do use the LCD data pins, you must make sure that their alternate functions do not
conflict with whatever you connect to them. Pins PB1, PB4, and PB5 connect to the user pushbuttons, and PD7
connects to the green user LED. It is important to note that PB4 and PB5 are also programming lines, so you must not
connect anything here that would interfere with programming.
So in summary, pins PD0 and PD1 are completely free digital I/O lines that can be used for general-purpose I/O
or for TTL serial communciation. Pins PC5, ADC6, and ADC7 can be freed from 3pi hardware by removing their
respective shorting blocks. PC5 can be used as an analog input or a digital I/O, and ADC6 and ADC7 are dedicated
analog inputs. Pins PB0, PD2, and PD4 become completely free digital I/O lines once you remove the LCD, and pins
PB1, PB4, PB5, and PD7 are digital I/O lines that you can use for certain applications if you are careful not to cause
conflicts between them and their alternate functionality.
For more information, please see Section 9 for the 3pi pin assignment tables and Section 5.e for the 3pi schematic
diagram.
To learn more about using the Pololu 3pi Robot, see the following list of resources:
• Pololu AVR Programming Quick Start Guide [http://www.pololu.com/docs/0J51]: tutorials on how to get started
programming in Windows, Linux, and Mac OS X.
• Pololu AVR Library Command Reference [http://www.pololu.com/docs/0J18]: detailed information about every
function in the library.
• Programming the 3pi Robot from the Arduino Environment [http://www.pololu.com/docs/0J17]: a guide to
programming the 3pi using the Arduino IDE in place of AVR Studio.
• Atmel Studio 6 [http://www.atmel.com/microsite/atmel_studio6/]
• AVR Libc Home Page [http://www.nongnu.org/avr-libc/]
• 3pi robots with serial numbers less than 0J7259 have AREF connected to AVCC. This makes it unsafe to
configure the AVR’s ADC to use the internal voltage reference. Newer 3pi robots disconnect AREF from AVCC
and add capacitor C32 between AREF and GND, making it safe to use the internal voltage reference.
12. Revision History and ErrataPage 63 of 63
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