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Author:

Liu, C. (Liu, C..) | Zhang, J. (Zhang, J..) | Yu, P. (Yu, P..) | Li, X. (Li, X..)

Indexed by:

EI Scopus

Abstract:

It is a difficult thing for robot working in a tight and narrow space with obstacles because of collision occurrence. For solving this problem, the paper proposes a joint trajectory generation method for obstacle avoidance. Besides of the end-effector, our work plans a collision free trajectory for each joint in the narrow space. Considering the complexity of obstacle distribution, the presented method combines Dynamic Movement Primitive (DMP) with a RRT-Connect algorithm that firstly, in the joint space DMPs generate trajectories for each manipulator joint, and then, in the cartesian space, the collision detection model checks the DMP generated trajectories. If any of the links collides with the obstacle, a collision free path will be planned on the trajectory points that encounter obstacles by employing RRT-Connect algorithm. Based on ROS platform, the experiments build a tight and narrow simulated environment, and test the method on a UR3 robot manipulator, which show the effectiveness of the presented method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Narrow space DMP-RRT-Connect Obstacle avoidance Collision detection

Author Community:

  • [ 1 ] [Liu C.]Department of Information, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang J.]Department of Information, Beijing University of Technology, Beijing, China
  • [ 3 ] [Yu P.]Department of Information, Beijing University of Technology, Beijing, China
  • [ 4 ] [Li X.]Department of Information, Beijing University of Technology, Beijing, China

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Source :

ISSN: 1865-0929

Year: 2023

Volume: 1787 CCIS

Page: 30-44

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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