AI ROS2 Mecanum Wheel Robot with Jetson Nano & MoveIt Motion Planning | Smart AI Vision STEM Platform for Education & Research | Supports OpenCV, TensorFlow & SLAM for Autonomous Navigation | Wi-Fi Connectivity with IMU & LiDAR Sensors

AI ROS 2 Mecanum Wheel Robot offers a complete autonomous learning system integrating Jetson Nano GPU computing with ROS 2 and MoveIt! motion planning for real-time AI navigation. AI vision robot uses HD camera and TensorFlow for object recognition, while LiDAR and IMU sensors perform SLAM mapping and orientation tracking. The Mecanum wheel design provides true omni-directional motion—forward, lateral, diagonal and rotation in place—allowing precise path planning and control inside ROS MoveIt framework.

AI computing on Jetson Nano enables deep-learning inference for vision and navigation tasks without cloud dependency. Students program ROS 2 nodes and topics to handle sensor fusion and real-time data exchange through DDS communication. MoveIt! supports inverse kinematics and trajectory planning for autonomous manipulation and navigation demonstrations. STEM learners experience integration of AI perception, mechanical design and software engineering in one platform.

AI robot teaches students path planning, PID motion control and sensor fusion theory. Gazebo and RViz visualization tools help analyze maps and simulate navigation before real-world execution. Wi-Fi and Bluetooth connectivity support remote control and AIoT applications for data logging and cloud monitoring. Open-source ROS 2 environment allows integration with Python and C++ algorithms for AI training and automation research.

Built with an aluminum chassis and high-torque motors, the robot delivers stability and precision in classroom and lab environments. STEM education benefits from hands-on learning that bridges mechanics, electronics and AI software through a single interactive ecosystem for future AI engineers.