Jetbot is a multi-functional AI smart robot car based on JESTON NANO 4GB that responds quickly to a variety of Al visual gameplay. The vehicle is made of green aluminum alloy, coupled with a unique mechanical structure that makes it different in appearance from other cars. Equipped with 3-degrees of freedom lifting platform and 8 million HD camera, which can real-time view surrounding scenes. And it can accomplish Automatic Avoiding, Object Tracking, Color Recognition / tracking, detecting desktop edge to anti-drop, etc. You can also train a variety of different runway models and control JetBot complete the autopilot function. Programmable RGB strips are also designed on both sides to light up high-brightness colorful light in dark environments. Users can remote control it by APK or Handle, and we will provide a lots of reference tutorials for users.
The PC performs interactive programming through a web browser, providing basic motion control, use of AI frameworks, AI model training, full-scale variable-speed remote control of the joystick remote stick, automatic obstacle avoidance, automatic following, and automatic driving. Low-level code multi-routine tutorial, Jupyter notebook. AI online programming and debugging, AI model training.
Yahboom's self driving source code is suitable for Yahboom's customized track. You can also train your own jetbot's track, which is a challenging learning project.
2019 NVIDIA GTC conference excellent robot
- High precision PID algorithm capable of fast response Color and face tracking application
- Multi-environment automatic obstacle avoidance application for obstacle avoidance model training
- Track model training for autonomous driving applications
- Independent real-time display of FPV (first person perspective) video controlled by PC, motion remote control, multiple AI functions integrated in a mobile phone Android, IOS dual system end APP blessing
- Support CUDA acceleration, PyTorch, TensorFlow and other mainstream AI frameworks and AI entry. Machine learning level from 0 to 1 tutorial