Obstacle Avoidance for Kinematically Redundant Robot

Xinyu WANG, Chenguang YANG, Junshen CHEN, Hongbin MA, Feng LIU

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)490-495
Number of pages6
JournalIFAC-PapersOnLine
Volume48
Issue number28
DOIs
Publication statusPublished - 2015

Keywords

  • Kinematically Redundant
  • Obstacle Avoidance

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