Design of an Experimental Teaching Platform for Coexisting-cooperative-cognitive Robots
This article designs a co-fusion robot experimental platform based on multi-sensor fusion for the robot control system experiment designed for students majoring in automation.This platform achieves pedestrian perception function through deep learning based visual detection method,uses multi-sensor information fusion method of LiDAR depth camera IMU to achieve positioning and mapping function,uses voice navigation to achieve navigation and obstacle avoidance function,and improves ant colony algorithm to achieve path planning function.At the same time,project teaching is carried out through the collaborative robot experimental platform,allowing students to deeply grasp the key technologies of collaborative robots,and constructing a project teaching organizational form of"engineering environment,project-based carrier,team guidance,and collaborative learning".Practical teaching shows that by setting up tiered teaching,teacher project guidance,and student self-directed learning,professional theoretical knowledge is strengthened,and students'engineering practical and innovative abilities are also enhanced.
human machine integrationautonomous navigationtri-co robotproject teaching
万方数据
维普
