Development of Multi-Robot Collaborative System for Complex Equipment Safety Monitoring Tasks

This study develops a multi-robot system for factory environments, focusing on autonomous navigation, self-localization, and object manipulation. The approach integrates AMCL for localization, Dijkstra's algorithm for path planning, and YOLOv5 for object detection. Key objectives include achieving autonomous locomotion, object recognition, and manipulation, evaluated in the Gazebo simulation environment using ROS. The paper discusses locomotion mechanisms, manipulation techniques, collaborative behaviors, and empirical findings. This research enhances industrial collaborative robotics by improving efficiency and adaptability in complex scenarios, paving the way for future exploration.