One robot. Your whole robotics curriculum.
Most educational kits teach you one thing. JetAuto teaches you all of it — from ROS fundamentals and SLAM navigation to deep learning inference and multimodal AI conversation.
Lidar + 3D depth + touchscreen — sensor coverage that leaves nothing to imagine.
A SLAMTEC A1 360° Lidar for path planning, a 3D depth camera for point-cloud imaging and RTAB mapping, a 2-DoF pan-tilt camera for FPV and active tracking, plus a 7-inch IPS touchscreen mounted right on the deck so students see RViz live as the robot moves.
360° omnidirectional motion, high-precision suspension, closed-loop encoders.
Four Mecanum wheels driven by magnetic encoder motors with closed-loop control give JetAuto true omnidirectional movement — forward, sideways, diagonal, in-place rotation. The pendulum suspension keeps traction on uneven lab floors. Perfect odometry feedback for SLAM and autonomous navigation experiments.
ChatGPT voice, YOLOv8 vision, MediaPipe gestures — all on-device.
TensorRT acceleration on the Jetson Nano runs YOLOv8 object detection, MediaPipe human recognition and gesture control at real-time framerates. A 6-microphone far-field array handles ChatGPT multimodal conversation. TensorFlow, PyTorch and OpenCV are pre-installed and pre-tuned.
ROS1 Noetic and ROS2 — both images pre-loaded, both syllabi covered.
Ships with two complete SD card images: Ubuntu 18.04 + ROS1 Noetic for classical robotics coursework, and Ubuntu 20.04 + ROS2 for modern industry practice. Five SLAM algorithms — Gmapping, Hector, Karto, Cartographer, RRT — with TEB path planning. All source code is open-source, annotated Python.
