AI ROS2 Autonomous Robot with Jetson Nano & LiDAR SLAM Navigation | Mecanum Wheel Omni-Directional AI Vision Platform for STEM Education & Research | Supports OpenCV, TensorFlow & MoveIt for Object Detection, Path Planning & Wi-Fi Control

AI ROS 2 autonomous robot combines Jetson Nano GPU computing, LiDAR SLAM navigation and Mecanum wheel mobility to deliver a powerful learning and research platform for AI and robotics education. AI vision system captures real-time video and performs object detection using OpenCV and TensorFlow, while LiDAR and IMU fusion enables accurate SLAM mapping and balance control. ROS 2 middleware manages sensor communication, node synchronization and trajectory execution within a distributed framework based on DDS protocols.

AI robot empowers students to explore autonomous navigation, path optimization and environment perception. Jetson Nano GPU computes deep-learning inference locally without cloud dependency, allowing real-time object classification and decision making. MoveIt! motion planning integrates with ROS 2 for collision-free trajectory generation and kinematic control. Wi-Fi and Bluetooth modules support AIoT applications and remote data logging.

Mecanum wheel design delivers true 360° mobility — forward, lateral, diagonal and rotation in place — using PID-controlled motors and encoder feedback for precision movement. Students learn mechanical kinematics, PID tuning and sensor fusion through hands-on experiments in Gazebo and RViz simulation. The aluminum chassis and high-torque motors ensure durability and accuracy for laboratory use.

Open-source architecture encourages custom hardware expansion and AI algorithm development. Universities and research labs use this robot for training in ROS 2, SLAM, MoveIt, and AIoT integration. The platform bridges mechanics, electronics and AI programming, turning theory into practical engineering experience for future AI engineers.