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

Titelangaben

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

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Abstract

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.

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Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: bidirectional search; discretization; graph search; Industrial robots; on-line algorithms; path planning; point-to-point; search algorithms
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik III > Lehrstuhl Angewandte Informatik III - Univ.-Prof. Dr. Dominik Henrich
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 05 Mär 2025 14:56
Letzte Änderung: 05 Mär 2025 14:56
URI: https://eref.uni-bayreuth.de/id/eprint/92671