Research and Realization of Target Following and Autonomous Obstacle Avoidance Algorithm of Quadruped Robot

The intelligent environment interaction ability of robot is one of the primary abilities of man-machine integration. With the technology progress of quadruped robot, it becomes a research hotspot to improve the capacity of intelligent interaction between robot and environment. In order to improve the intelligence of quadruped robot to interact with the environment, based on the physical platform of developmental miniature electrically-driven quadruped robot, as well as the integration of depth camera and correlation processing units, an autonomous following obstacle avoidance algorithm integrating with the directional motion control strategy of quadruped robot is designed. The quadruped robot can follow single moving person and avoid obstacles autonomously, which provides a certain algorithm application foundation for the improvement of the environmental perception ability of subsequent robots.