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Point-to-Point and Multi-Goal Path Planning for Industrial Robots

Title data

Wurll, Christian ; Henrich, Dominik:
Point-to-Point and Multi-Goal Path Planning for Industrial Robots.
In: Journal of Robotic Systems. Vol. 18 (2001) Issue 8 . - pp. 445-461.
ISSN 1556-4967
DOI: https://doi.org/10.1002/rob.1036

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SKALP
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Abstract in another language

This article presents contributions in the field of path planning for industrial robots with 6 degrees of freedom. This work presents the results of our research in the last 4 years at the Institute for Process Control and Robotics at the University of Karlsruhe. The path planning approach we present works in an implicit and discretized C-space. Collisions are detected in the Cartesian workspace by a hierarchical distance computation. The method is based on the A* search algorithm and needs no essential off-line computation. A new optimal discretization method leads to smaller search spaces, thus speeding up the planning. For a further acceleration, the search was parallelized. With a static load distribution good speedups can be achieved. By extending the algorithm to a bidirectional search, the planner is able to automatically select the easier search direction. The new dynamic switching of start and goal leads finally to the multi-goal path planning, which is able to compute a collision-free path between a set of goal poses (e.g., spot welding points) while minimizing the total path length.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: bidirectional search; discretization; graph search; Industrial robots; on-line algorithms; path planning; point-to-point; 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: 05 Mar 2025 14:56
Last Modified: 05 Mar 2025 14:56
URI: https://eref.uni-bayreuth.de/id/eprint/92671