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Titel:

Efficient Path Planning for Modular Reconfigurable Robots

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Matthias Mayer; Zihao Li; Matthias Althoff
Seitenangaben Beitrag:
TBA
Abstract:
Industrial robots are essential for modern production but often struggle to adapt to new tasks. Modular (reconfigurable) robots can overcome this challenge by eliminating the need to replace the whole robot. However, finding the optimal assembly for a task remains difficult because a valid path has to be computed for each generated assembly - consuming a significant fraction of the computation time. Similar to online path planning, where previous approaches adapt known paths to a changing enviro...     »
Stichworte:
Benchmarking; Modular Robotics; Path Planning; Trajectory Planning; Optimization
Herausgeber:
IEEE
Kongress- / Buchtitel:
IEEE/RSJ International Conference on Intelligent Robots and Systems (2024)
Datum der Konferenz:
14.-18.10.2024
Jahr:
2024
Monat:
Oct
Seiten:
7
Reviewed:
ja
Sprache:
en
TUM Einrichtung:
Cyber-Physical Systems Group
Copyright Informationen:
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. DOI: TBA (Accepted at IEEE IROS’24)
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