Vision-based Automatic Guided Vehicle

This project involves a mobile robot designed with Mecanum wheels for enhanced maneuverability, a 3-DOF robotic arm with a gripper, and dual cameras for improved vision capabilities. The robot efficiently performs tasks such as line tracking and obstacle avoidance, making it adaptable to different environments. Utilizing the FOMO (Faster Objects, More Objects) machine learning algorithm for object detection and localization, the robot can identify and locate objects in real-time. Additionally, it is capable of picking up objects from either side, enhancing its versatility in handling various tasks.