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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2409.08527 |
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| _version_ | 1866909534948163584 |
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| author | Wang, Jiawen Jin, Yixiang Shi, Jun A, Yong Li, Dingzhe Sun, Fuchun Luo, Dingsheng Fang, Bin |
| author_facet | Wang, Jiawen Jin, Yixiang Shi, Jun A, Yong Li, Dingzhe Sun, Fuchun Luo, Dingsheng Fang, Bin |
| contents | Mobile manipulation typically entails the base for mobility, the arm for accurate manipulation, and the camera for perception. The principle of Distant Mobility, Close Grasping(DMCG) is essential for holistic control. We propose Embodied Holistic Control for Mobile Manipulation(EHC-MM) with the embodied function of sig(w): By formulating the DMCG principle as a Quadratic Programming (QP) problem, sig(w) dynamically balances the robot's emphasis between movement and manipulation with the consideration of the robot's state and environment. In addition, we propose the Monitor-Position-Based Servoing (MPBS) with sig(w), enabling the tracking of the target during the operation. This approach enables coordinated control among the robot's base, arm, and camera, enhancing task efficiency. Through extensive simulations and real-world experiments, our approach significantly improves both the success rate and efficiency of mobile manipulation tasks, achieving a 95.6% success rate in real-world scenarios and a 52.8% increase in time efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_08527 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | EHC-MM: Embodied Holistic Control for Mobile Manipulation Wang, Jiawen Jin, Yixiang Shi, Jun A, Yong Li, Dingzhe Sun, Fuchun Luo, Dingsheng Fang, Bin Robotics Mobile manipulation typically entails the base for mobility, the arm for accurate manipulation, and the camera for perception. The principle of Distant Mobility, Close Grasping(DMCG) is essential for holistic control. We propose Embodied Holistic Control for Mobile Manipulation(EHC-MM) with the embodied function of sig(w): By formulating the DMCG principle as a Quadratic Programming (QP) problem, sig(w) dynamically balances the robot's emphasis between movement and manipulation with the consideration of the robot's state and environment. In addition, we propose the Monitor-Position-Based Servoing (MPBS) with sig(w), enabling the tracking of the target during the operation. This approach enables coordinated control among the robot's base, arm, and camera, enhancing task efficiency. Through extensive simulations and real-world experiments, our approach significantly improves both the success rate and efficiency of mobile manipulation tasks, achieving a 95.6% success rate in real-world scenarios and a 52.8% increase in time efficiency. |
| title | EHC-MM: Embodied Holistic Control for Mobile Manipulation |
| topic | Robotics |
| url | https://arxiv.org/abs/2409.08527 |