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Obstacle Avoidance for Robot Manipulator

  • Chenguang YangEmail author
  • Hongbin MaEmail author
  • Mengyin Fu
Chapter

Abstract

Kinematic redundancy allows a manipulator to have more joints than required and could make the robot more flexible in the obstacles avoidance. This chapter first introduces the concept of kinematic redundancy. Then, a human robot shared controller is developed for teleoperation of redundant manipulator by developing an improved obstacle avoidance strategy based on the joint space redundancy of the manipulator. Next, a self-identification method is described based on the 3D point cloud and the forward kinematic model of the robot. By implementing a space division method, the point cloud is segmented into several groups which represent the meaning of the points. A collision prediction algorithm is then employed to estimate the collision parameters in real-time. The experiment using the Kinect sensor and the Baxter robot has demonstrated the performance of the proposed algorithms.

Keywords

Point Cloud Obstacle Avoidance Depth Image Haptic Device Collision Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Science Press and Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Key Lab of Autonomous Systems and Networked Control, Ministry of EducationSouth China University of TechnologyGuangzhouChina
  2. 2.Centre for Robotics and Neural SystemsPlymouth UniversityDevonUK
  3. 3.School of AutomationBeijing Institute of TechnologyBeijingChina
  4. 4.State Key Lab of Intelligent Control and Decision of Complex SystemBeijing Institute of TechnologyBeijingChina

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