具身认知
控制(管理)
计算机科学
人机交互
业务
沟通
心理学
人工智能
作者
Jiawen Wang,Yixiang Jin,Jun Shi,A. Yong,Dingzhe Li,Bin Fang,Fuchun Sun
出处
期刊:Cornell University - arXiv
日期:2024-09-13
标识
DOI:10.48550/arxiv.2409.08527
摘要
Mobile manipulation typically entails the base for mobility, the arm for accurate manipulation, and the camera for perception. It is necessary to follow the principle of Distant Mobility, Close Grasping(DMCG) in 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 allows coordinated control between the robot's base, arm, and camera. 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 the real-world scenarios and a 52.8% increase in time efficiency.
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