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A review of parallel processing approaches to motion planning
Dominik Henrich

Abstract (english)
One of the many features needed to support the activities of autonomous systems is the ability of motion planning. It enables robots to move in their environment securely and to accomplish given tasks. Unfortunately, the control loop comprising sensing, planning, and acting has not yet been closed for robots in dynamic environments. One reason involves the long execution times of the motion planning component. A solution for this problem is offered by the use of highly computational parallelism. Thus, an important task is the parallelization of existing motion planning algorithms for robots so that they are suitable for highly computational parallelism. In several cases, completely new algorithms have to be designed, so that a parallelization is feasible. In this survey, we review recent approaches to motion planning using parallel computation.

Publication data

Year: 1996
Publication date: 01. April 1996
Source: 1996 IEEE International Conference on Robotics and Automation
Project: PARO


  TITLE             = "A review of parallel processing approaches to motion planning",
  AUTHOR            = "Henrich, Dominik",
  YEAR              = "1996",
  JOURNAL           = "1996 IEEE International Conference on Robotics and Automation",
  HOWPUBLISHED      = "\url{}",


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