<div class="csl-bib-body">
<div class="csl-entry">Beck, F., & Kugi, A. (2022). Motion Planning for Human-Robot Collaboration. In S. T. Köszegi & M. Vincze (Eds.), <i>Trust in Robots</i> (pp. 129–147). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_6</div>
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In this work, we address motion planning for robots in human-robot collaboration. An overview of important properties
of a motion planning algorithm in terms of safety and human comfort is provided. In terms of comfort, we
emphasize fluency, legibility, and human-like motion. Furthermore, existing planning algorithms are reviewed and
contrasted in terms of these desired properties. Based on this review of the literature, a receding horizon trajectory
optimization approach is proposed, and its main features are highlighted.
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by-sa/4.0/
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dc.subject
motion planning
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dc.subject
receding horizon concept
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dc.subject
human-robot collaboration
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dc.subject
safety
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dc.subject
comfort
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dc.title
Motion Planning for Human-Robot Collaboration
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dc.type
Book Contribution
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dc.type
Buchbeitrag
de
dc.rights.license
Creative Commons Attribution-ShareAlike 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International