ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing
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arXiv
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| Autores principales: | , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912126604410880 |
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| author | Li, Chuanyu Dang, Renjun Li, Xiang Wu, Zhiyuan Xu, Jing Kasaei, Hamidreza Calandra, Roberto Lepora, Nathan Luo, Shan Su, Hao Chen, Rui |
| author_facet | Li, Chuanyu Dang, Renjun Li, Xiang Wu, Zhiyuan Xu, Jing Kasaei, Hamidreza Calandra, Roberto Lepora, Nathan Luo, Shan Su, Hao Chen, Rui |
| contents | This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 2024 challenge, ManiSkill-ViTac 2025 includes 3 independent tracks: tactile manipulation, tactile-vision fusion manipulation, and tactile sensor structure design. The challenge aims to push the boundaries of robotic manipulation skills, emphasizing the integration of tactile and visual data to enhance performance in complex, real-world tasks. Participants will be evaluated using standardized metrics across both simulated and real-world environments, spurring innovations in sensor design and significantly advancing the field of vision-tactile fusion in robotics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_12503 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Li, Chuanyu Dang, Renjun Li, Xiang Wu, Zhiyuan Xu, Jing Kasaei, Hamidreza Calandra, Roberto Lepora, Nathan Luo, Shan Su, Hao Chen, Rui Robotics This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 2024 challenge, ManiSkill-ViTac 2025 includes 3 independent tracks: tactile manipulation, tactile-vision fusion manipulation, and tactile sensor structure design. The challenge aims to push the boundaries of robotic manipulation skills, emphasizing the integration of tactile and visual data to enhance performance in complex, real-world tasks. Participants will be evaluated using standardized metrics across both simulated and real-world environments, spurring innovations in sensor design and significantly advancing the field of vision-tactile fusion in robotics. |
| title | ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing |
| topic | Robotics |
| url | https://arxiv.org/abs/2411.12503 |