Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Parallel on-line motion planning for industrial robots

Title data

Wurll, Christian ; Henrich, Dominik ; Wörn, Heinz:
Parallel on-line motion planning for industrial robots.
In: Robotics 98 : Proceedings of the Third ASCE Specialty Conference on Robotics for Challenging Environments. - Albuquerque, New Mexico , 1998 . - pp. 314-320
DOI: https://doi.org/10.1061/40337(205)46

Related URLs

Project information

Project title:
Project's official title
Project's id
SKALP
No information
PARO
No information

Abstract in another language

This paper presents a new approach to parallel, motion planning for industrial robot arms with six degrees of freedom in an on-line given 3D environment. The method is based on the A*-search algorithm and needs no essential off-line computations. The algorithm works in an implicitly descrete configuration space. Collisions are detected in the cartesian workspace by hierarchical distance computation based on the given CAD model. By decomposing the 6D configuration space into hypercubes and cyclically mapping them onto multiple processing units, a good load distribution can be achieved. We have implemented the parallel motion planner on a workstation cluster with 9 PCs and tested the planner for several benchmark environments. With optimal discretisation, the new approach usually shows linear, and sometimes even superlinear speedups. In on-line provided environments with static obstacles, the parallel planning times are only a few seconds.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: motion planning; parallel processing; search algorithms
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 11 Mar 2025 13:24
Last Modified: 11 Mar 2025 13:24
URI: https://eref.uni-bayreuth.de/id/eprint/92781