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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2409.10747 |
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| _version_ | 1866916447311101952 |
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| author | Shi, Lei Liu, Qichao Zhou, Cheng Gao, Wentao Wu, Haotian Zheng, Yu Li, Xiong |
| author_facet | Shi, Lei Liu, Qichao Zhou, Cheng Gao, Wentao Wu, Haotian Zheng, Yu Li, Xiong |
| contents | This article explores human-like movement from a fresh perspective on motion planning. We analyze the coordinated and compliant movement mechanisms of the human body from the perspective of biomechanics. Based on these mechanisms, we propose an optimal control framework that integrates compliant control dynamics, optimizing robotic arm motion through a response time matrix. This matrix sets the timing parameters for joint movements, turning the system into a time-parameterized optimal control problem. The model focuses on the interaction between active and passive joints under external disturbances, improving adaptability and compliance. This method achieves optimal trajectory generation and balances precision and compliance. Experimental results on both a manipulator and a humanoid robot validate the approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_10747 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Uncovering the Secrets of Human-Like Movement: A Fresh Perspective on Motion Planning Shi, Lei Liu, Qichao Zhou, Cheng Gao, Wentao Wu, Haotian Zheng, Yu Li, Xiong Robotics This article explores human-like movement from a fresh perspective on motion planning. We analyze the coordinated and compliant movement mechanisms of the human body from the perspective of biomechanics. Based on these mechanisms, we propose an optimal control framework that integrates compliant control dynamics, optimizing robotic arm motion through a response time matrix. This matrix sets the timing parameters for joint movements, turning the system into a time-parameterized optimal control problem. The model focuses on the interaction between active and passive joints under external disturbances, improving adaptability and compliance. This method achieves optimal trajectory generation and balances precision and compliance. Experimental results on both a manipulator and a humanoid robot validate the approach. |
| title | Uncovering the Secrets of Human-Like Movement: A Fresh Perspective on Motion Planning |
| topic | Robotics |
| url | https://arxiv.org/abs/2409.10747 |