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Robot trajectory generation based on human motion behaviour

delete2026-04-25
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OA
AI
R
R. A. Saeed *
T
Tadele Belay Tuli
T
Timo Habersang
M
Michael Miro
B
Bernd Kuhlenkötter
M
Martin Manns
DOI：10.1016/j.robot.2026.105495delete
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摘要

摘要

En 中文
• 概率模型实现自然、多样、类人机器人运动。 • 从低级到高级映射人类运动以实时生成机器人轨迹。 • 机器人利用实时力反馈适应人类行为调整轨迹。 • 该方法提升人机任务执行中的协调性与和谐性。
Keyword:
Human–robot collaboration
Human motion modelling
Collaborative handling tasks
Probabilistic data-driven approach
Data mapping structure
Human motion intention
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Robotics and Autonomous Systems 封面图
Robotics and Autonomous Systems
IF:
5.2
论文数:
753
被引数:
1.0W

机构

R
Ruhr University Bochum
学者数:
492
论文数: 230
被引数: 2.1W
U
university of siegen
学者数:
42
论文数: 28
被引数: 0
引用论文

引用论文

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err40
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Exploring tasks and challenges in human-robot collaborative systems: A review探索人机协作系统中的任务与挑战：综述
errRobotics and Computer-Integrated Manufacturing
IF11.4
err2025-08-23
err0
errOAAI
errSeemal Asif; Tiziana C. Callari; Fahad Khan; Iveta Eimontaite; Ella-Mae Hubbard; Masoud S. Bahraini; Phil Webb; Niels Lohse
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Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human-Human and Human-Machine Interactions
errCOGNITIVE COMPUTATION
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err2015-04-12
err56
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errVinciarelli, Alessandro; Esposito, Anna; Andre, Elisabeth; Bonin, Francesca; Chetouani, Mohamed; Cohn, Jeffrey F.; Cristani, Marco; Fuhrmann, Ferdinand; Gilmartin, Elmer; Hammal, Zakia; Heylen, Dirk; Kaiser, Rene; Koutsombogera, Maria; Potamianos, Alexandros; Renals, Steve; Riccardi, Giuseppe; Salah, Albert Ali
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