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This assignment is due on Wednesday, September 30, 2020 before 11:59PM.
You can download the materials for this assignment here:

Part 1: Set Up your Sensor Pack

These instructions will walk you through how to install the software on your Raspberry Pi Sensor Pack so that you can control your R2D2 with our Python API.

Charge your Sensor Pack

To charge your sensor pack, plug a micro USB cable into its charging port. There are three micro USB ports on the Raspberry Pi sensor pack – two on the front and one on the bac. Only the one on the back will charge the battery. There are a set of blue LED lights on the sensor pack located just behind the camera ribbon. These blue lights indicate the charge level of the battery.

Location of the charging port on the sensor pack

Install Software on the Raspberry Pi

The sensor pack uses the Raspberry Pi Zero. The Raspberry Pi Zero uses a micro SD card as its storage space. We will install an operating system for the Raspberry Pi Zero, along with all of the software that we’ll need to control the robot, by writing a disk image file to your micro SD card.

Here is how to put the disk image file on your Micro SD card:

  • Put your micro SD card into a USB SD card reader, and insert the card reader in your computer’s USB port.
  • Download the image file from our Google drive.
  • Flash the image onto the SD card. We recommend using balenaEtcher which is free software that is available for all platforms.

Connect the Raspberry Pi to Wi-Fi

After the SD card is flashed, you need to set up access to your Wi-Fi network. Please make sure the frequency of your WI-FI is 2.4G Hz not 5G Hz. Then, download this configuration file. Make sure you don’t rename the file – it needs to be wpa_supplicant.conf in order for the Raspberry Pi’s operating system to find it. The file contents contain the following details:

ctrl_interface=DIR=/var/run/wpa_supplicant GROUP=netdev


You need edit the file to replace WIFI_NETWORK_NAME with your Wi-Fi name and WIFI_PASSWORD to be your Wi-Fi password. Then put the edited file in the boot partition of your SD card. If you are using Windows and the prompt comes up saying you should format the disk before using it, DO NOT format it. Just look for the partition with name boot.

Then safely eject the SD card reader from your computer, and remove the Micro SD card from it. Plug the Micro SD card into the slot on the Raspberry Pi. The slot is located on the right hand side of the device. Turn on the Raspberry Pi by pressing the small power switch near the top left corner of the device. If everything goes well, the Raspberry Pi will connect to your Wi-Fi.

Location of the power button and SD card slot on the sensor pack

SSH into the Raspberry Pi

If your Raspberry Pi successfully connected to your Wi-Fi network, then we can remotely access the Raspberry Pi from your computer using Secure Shell (SSH).

Before using SSH, we must first know the IP address of the Raspberry Pi. We could use the IP scanner apps to find its IP address, here is some free software that you can use to find its IP address:

After you find the IP address of your Raspberry Pi, it’s time to SSH into it. The default username to login to the Raspberry Pi is pi and the password is raspberry. There are many tutorials online for how to use SSH, here, we’ll just give some simple instructions on different platforms.

MacOS and Linux

Open a terminal window and then run:

[enter the password when prompted]

Where is the IP address of your Raspberry Pi.


If you want to use Windows 10’s built-in SSH commands, click here for details. Once SSH client is installed, you can follow the same steps below for MacOS / Linux.

Another option on Widnows is PuTTY, download and install it. PuTTY has a GUI where you can insert in the IP address and it will launch a terminal window.


You’ll see a terminal window like this:


Then you just need to type the username (pi) and password (raspberry) and you are good to go.

Basic Bash Skills

Once you have logged into your Raspberry Pi, you’ll see a command line prompt that will let you type in Unix-style bash commands. If you haven’t used a command line before, there are a lot of tutorials on bash commands available online, here we just introduce some useful commands which are frequently utilized.

  • cd Change Directory: cd folder to change to the working directory you are currently under to folder, see more details here.

  • ls List Files/Directory: ls folder to list information about files and directories under folder, see more details here.

  • cat Display/Copy/Create Text Files: cat filename to display the content of a file with filename, see more details here.

  • rm Remove File/Directory: rm filename to remove a file or directory with filename, see more details here.

  • nano Text Editor: nano filename to edit the file with filename. It’s a command-line based text editor, see more details here.

  • password Change the password: It is recommended to change the password once you get your Raspberry Pi.

  • screen Start a terminal session in the background: screen -S name to start a named session called name. Press Ctrl-A and then press D to detach the session. screen -r name to attach to the session called name. This allows you to start a terminal that won’t be terminated when you disconnect from SSH. See more details here.

Bash Commands for the Raspberry Pi

  • System configuration: sudo raspi-config
  • Reboot: sudo reboot now
  • Shutdown: sudo shutdown now

You should always shut down properly before you unplug the power. Failed to do so may result in data corruption, and you may need to re-flash the image when that happens.

Optional: Using the Raspberry Pi to Control the Robot

If your computer doesn’t have Bluetooth (or if its Bluetooth is too old), then you can use the Raspberry Pi that comes with the robot as a backup option to connect to the robot. The Raspberry Pi can act as a relay server between the robot and the client (your computer) which will run the actual code.

To start the server on Raspberry Pi, run:

sudo -E python3 -m spherov2.adapter.tcp_server

After you have successfully launched the server on the Raspberry Pi, you can connect to it from your own computer using the TCP adapter argument to the find_toy function. You can run this Python code on your computer:

from spherov2 import scanner
from spherov2.sphero_edu import SpheroEduAPI
from spherov2.adapter.tcp_adapter import get_tcp_adapter

toy = scanner.find_toy(adapter=get_tcp_adapter('')) # The IP Address of the server machine
with SpheroEduAPI(toy) as api:
    api.roll(0, 100, 3)

Part 2: Understanding the Sensor Systems

1. Mechanical Design

The basic Sphero R2D2 does not have many built in sensors. We upgraded the droid with a sensor pack that can be attached to the robot via a 3D printed mount. We add an ultrasonic sensor range finder, an IR cliff sensor, and a camera.

  • 3D Print Mount: It contains three parts, front mount, back mount and top hat. The front mount is connected to the R2-D2 using magnets which means you could easily remove it when necessary. The back mount and top hat are attached to the R2-D2 by glue. There is an AprilTag stuck to the hat for position tracking.
  • Raspberry Pi: The Raspberry Pi is connected to the front mount via magnets and it is powered by the LiPo battery.
  • Power Management Board: This board is closely attached to the Raspberry Pi with screws to control the power from the LiPo battery and prevent damage caused by a short circuit.
  • LiPo Battery: The LiPo battery is equipped on the back mount using magnets. There also exists a tiny AprilTag for position tracking.
  • Ultrasonic Sensor: The ultrasonic sensor uses sound waves to measure the distance to obstacles, here is an introduction on how it works. In our design, the ultrasonic sensor is mounted on the front armor with glue to detect the obstacles in front of the R2-D2.
  • IR Obstacle Sensor: Instead of utilizing sound waves, the Infrared Transmitter (IR) obstacle sensor uses light radiation to perceive the obstacles. Please refer here for details. The IR sensor is linked to the front mount using screws and points to the ground to detect cliffs.
  • Camera: The camera is mounted on the hat with screws which can be easily dismounted. The camera has a high resolution of 1080p/30fps. A detailed description of the camera specs can be found here.
  • How to turn it on?: There is a small button on the power management board. Press it once to start the system and double click to shut down the system.
  • How to charge?: To charge the R2-D2, there is a micro-USB port on the lower left corner at the rear of R2-D2. To charge the Raspberry Pi, there are three micro-USB ports, two on the Raspberry Pi and one on the power management board. You should charge the battery via the one on the power management board.

2. Circuit Design and Control Logic

The figure below shows the circuit diagram of the sensor system. If you unplug any of these wires by mistake, you could easily fix them by following this diagram. The control logic is also demonstrated below for you to understand how the system works.

Drawing Drawing
Circuit Diagram Control Logic


Here are some descriptions of the circuit diagram, refer here for the PIN layout of Raspberry Pi zero.

  • Ultrasonic Sensor : Vcc - PIN 2, Gnd - perfboard - PIN6, Trig - PIN7 (GPIO 4), ECHO - perfboard - PIN 11 (GPIO 17).
  • IR Obstacle Sensor : Vcc - PIN 4, Gnd - PIN 39, Out - PIN 40 (GPIO 21)

Control Logic

  • Raspberry Pi: Handles signals sent from the camera and the sensors, and sends them to the PC when requested. The RPi could also work as the server to send commands to the R2-D2 if your PC does not have a Bluetooth adapter.
  • PC: Your PC could generate target commands to the R2-D2 based on the sensor data sent from Raspberry Pi.
  • R2-D2 & Sensors: Joined by the 3D print mount as the terminal equipment to show the functions.

3. Receive the Sensor Data

Before starting this section, make sure to have successfully SSHed into the Raspberry Pi unit on the R2D2 following this document. Once you’ve successfully SSHed into the R2D2s RPi unit, run the ls command. It should show you two files; and

Download to your computer, which contains some utility functions required to receive the sensor data.


On the Rasperry Pi’s command line:

Run the following code to start the video server.


You should see the message Waiting for a TCP connection on x.x.x.x:65433....

On your computer’s shell terminal:

Install OpenCV on your computer using the following command:

pip3 install opencv-python

Then use the given function in to create and run a python script as follows:

from rpi_sensor import RPiSensor
import cv2

if __name__ == '__main__':
    with RPiCamera('tcp://IP_ADDRESS:65433') as camera: # Replace IP_ADDRESS with the IP address of your Raspberry Pi
        while True:
            cv2.imshow('R2D2 camera', camera.get_frame())
            key = cv2.waitKey(1)
            if key == ord('q'):

If every thing goes well, you will be able to see a real time video streaming window pop on your screen.

Note: Remember that you have to start the camera server on your Raspberry Pi before running the client code.


In addition to the built-in sensors API, we provide a server to obtain data from the ultrasonic sensor and cliff detection sensor. To start the sensor server, run the following command on the Raspberry Pi shell terminal:


We provide an RPiSensor class in You could connect to the sensor server with the following code:

from rpi_sensor import RPiSensor

with RPiSensor('IP_ADDRESS') as sensor: # IP address of Raspberry Pi
    print(sensor.get_obstacle_distance())  # Distance to the obstacle in terms of centimeters
    print(sensor.get_cliff())  # 0 - no cliff, 1 - detected cliff

To fetch the ultrasonic sensor data, use the method .get_obstacle_distance(). Similarly, use .get_cliff() for cliff detection.

Combine R2D2 with the Camera & Sensors (Surveillance Mode) [5 points]

Now it’s your turn to complete the second part of the script, in which you are required to combine the drive_with_keyboard() function with the sensor/camera system. Inspired by the head-up display (HUD) system of jet fighter, we could display the sensor information on the video streaming window shown below.

Implementation details are in the main assignment writeup.