Hand-Object Contact Detection using Grasp Quality Metrics
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866917906430820352 |
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| author | Nguyen, Thanh Vinh Cosgun, Akansel |
| author_facet | Nguyen, Thanh Vinh Cosgun, Akansel |
| contents | We propose a novel hand-object contact detection system based on grasp quality metrics extracted from object and hand poses, and evaluated its performance using the DexYCB dataset. Our evaluation demonstrated the system's high accuracy (approaching 90%). Future work will focus on a real-time implementation using vision-based estimation, and integrating it to a robot-to-human handover system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_06987 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hand-Object Contact Detection using Grasp Quality Metrics Nguyen, Thanh Vinh Cosgun, Akansel Robotics We propose a novel hand-object contact detection system based on grasp quality metrics extracted from object and hand poses, and evaluated its performance using the DexYCB dataset. Our evaluation demonstrated the system's high accuracy (approaching 90%). Future work will focus on a real-time implementation using vision-based estimation, and integrating it to a robot-to-human handover system. |
| title | Hand-Object Contact Detection using Grasp Quality Metrics |
| topic | Robotics |
| url | https://arxiv.org/abs/2501.06987 |