Duckiebot (DB-J)

Bring your vehicle autonomy education and research to the next level with the latest Duckiebot model!

This DIY kit provides a fully-programmable model self-driving car featuring: 

• Mature design: quality stemming from years of iterations and feedback from thousands of users, from top university Professors to young learners, and everybody in between 

• Chassis:
• Differential drive configuration
  
  
• Sensors:
• Hall effect sensor wheel encoders
• Front-facing 160deg FOV camera
  
• Inertial Measurement Unit (IMU)
• Front-facing time of flight sensor
  
• Battery diagnostics
  
  
• Actuators:
• 2 DC motors
• 4 Addressable RGB LEDs (controllable in intensity, color, and frequency)
  
  
• Computation:
• NVIDIA Jetson Nano 2GB or Jetson Nano 4GB (the latter is recommended for ML applications)

• Memory:
• (Fast) 64 GB micro SD card, class 10, U3
  
  
• Power:
  
• Smart Duckiebattery: 10Ah, 2x2A USB outputs, 4.5A max
  
• Provides live diagnostics and soft shutdown

• User Interface:
• Screen
• Shut-down button
  
  
• Complete: all components needed to assemble and calibrate your Duckiebot come in the box. Power adapter not included (5V, 2A, micro-USB recommended).
  
  
• No soldering is required
  
  
• MOOC compliant: -J4 is recommended to join the Duckietown online learning experience.  You will need a city track as well, check out the "MOOC Founder's edition kit" for a one-click solution.  

• Applications:
  
  
• Teach: Start here to teach a state-of-the-art robot autonomy class.
  
  
• Learn: on your own and leverage our user-paced massive open online course "Self-driving cars with Duckietown", on the edX platform.

Have a Jetson Nano (2GB or 4GB) at home already? Select the "No Jetson" variant. 

• Additional resources:  DB21 assembly instructions | DB21(M) handling instructions | Downloadable user manual | CE, FCC certifications