Sample-Based Motion Planning for Multi-Robot Systems

Muradi M, Wanka R (2020)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2020

Pages Range: 130-138

Conference Proceedings Title: Proc. 6th International Conference on Control, Automation and Robotics (ICCAR)

Event location: Singapore SG

ISBN: 978-1-7281-6139-6

DOI: 10.1109/ICCAR49639.2020.9108020

Abstract

We present a methodology for robot path planning and smoothing based on the probabilistic roadmap algorithm and simulated annealing algorithm. Furthermore, a fast and accurate collision detection and a suitable format for the abstract description of robot problems are introduced. The methods are tested on the automotive sealing process by applying them to a practical problem.

Authors with CRIS profile

Murad Muradi Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung) Rolf Wanka Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung)

Related research project(s)

Algorithmen für kombinatorische Probleme (AlKoP) March 13, 2017 - March 13, 2020

How to cite

APA:

Muradi, M., & Wanka, R. (2020). Sample-Based Motion Planning for Multi-Robot Systems. In IEEE (Eds.), Proc. 6th International Conference on Control, Automation and Robotics (ICCAR) (pp. 130-138). Singapore, SG.

MLA:

Muradi, Murad, and Rolf Wanka. "Sample-Based Motion Planning for Multi-Robot Systems." Proceedings of the 6th International Conference on Control, Automation and Robotics (ICCAR), Singapore Ed. IEEE, 2020. 130-138.

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