Task-Dependent Synergies for Motion Planning of an Anthropomorphic Dual-Arm System
This paper discusses motion planning for anthropomorphic dual-arm robots. It introduces a measure of the similarity of the movements needed to solve two given tasks. Planning using this measure to select proper arm synergies for a given task improves the planning performance and the resulting plan.
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Veröffentlicht in: | IEEE transactions on robotics 2017-06, Vol.33 (3), p.756-764 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper discusses motion planning for anthropomorphic dual-arm robots. It introduces a measure of the similarity of the movements needed to solve two given tasks. Planning using this measure to select proper arm synergies for a given task improves the planning performance and the resulting plan. |
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ISSN: | 1552-3098 1941-0468 |
DOI: | 10.1109/TRO.2017.2676131 |