Obstacle Avoidance for Kinematically Redundant Robot**This work was supported in part by EPSRC grant EP/L026856/1, Royal Society grant IE130681, Guangdong Provincial Natural Science Foundation of China under Grant 2014A030313266, State Key Laboratory of Robotics and System (HIT) SKLRS-2014-MS-05, and National Natural Science Foundation (NNSF) of China under Grants 61473120 and 61473038.****Corresponding authors are C. Yang and H. Ma. Email: cyang;[email protected]
Xinyu Wang, Chenguang Yang, Junshen Chen, Hongbin Ma, Feng Liu · IFAC-PapersOnLine · 2015
Manipulator's obstacle avoidance is always a challenging topic in robotics. With the concern of the safety problems in human working environment, an improved obstacle avoidance method is proposed based on the general solution of the inverse kinematic problem of a redundant manipulator. A new obstacle detection method using Kinect R sensor is designed to give a robust obstacle information. By designing a parallel system of the manipulator, the proposed control method is not only to achieve the goal of moving away from the obstacle, but also able to guarantee the robot move back to its original pose. The stability of the closed-loop system is established using Lyapunov direct method to ensure the asymptotic stability of the system. The performance of the simulation results verifies the effectiveness of the proposed obstacle detection algorithm and the obstacle avoidance method.