Duckiebot (DB-J-2)

Bring your vehicle autonomy education and research to the next level with the latest Duckiebot model (DB-J-2)! This DIY robotics 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 with metal axles (NEW!) for enhanced stability  4 Addressable RGB LEDs (controllable in intensity, color, and frequency) Computation: NVIDIA Jetson Nano 4GB (Jetson Nano 2GB is supported) Memory: (Fast) 64 GB micro SD card, class 10, U3 Quality micro SD to USB adapter 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 Duckietown massive open online course 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.   Learning ecosystem: Duckiebots are fully integrated into the Duckietown pedagogical system. Learn to use ROS, Python, Docker, and the algorithms and architectures for autonomy leveraging simulation, learning experiences, curricula, and much more!  Have a Jetson Nano already? Select the "No Jetson" variant.