Cross-Embodiment Robot Manipulation via a Unified Hand Action Space - 深度解析 论文来源:ArXiv (2607.03570) 作者:Luis Felipe Casas, Robert Teal, Keval Shah, Abhijit Tadepalli, Wanxin Jin 等 分类:cs.RO 发布时间:2026-07-03T19:19:20Z 解读时间:2026年07月07日 09:09:26 📋 论文基本信息 标题:Cross-Embodiment Robot Manipulation via a Unified Hand Action Space 作者:Luis Felipe Casas, Robert
论文来源:ArXiv (2607.03570)
作者:Luis Felipe Casas, Robert Teal, Keval Shah, Abhijit Tadepalli, Wanxin Jin
等
分类:cs.RO
发布时间:2026-07-03T19:19:20Z
解读时间:2026年07月07日 09:09:26
标题:Cross-Embodiment Robot Manipulation via a Unified Hand Action Space
作者:Luis Felipe Casas, Robert Teal, Keval Shah, Abhijit Tadepalli, Wanxin Jin
ArXiv ID:2607.03570
链接:https://arxiv.org/abs/2607.03570v1
分类:cs.RO
研究领域:工程制造
本论文研究了 工程制造 领域的重要问题。
Robot manipulation policies are typically tied to specific robotic hand embodiments, limiting the transfer of learned behaviors across platforms with different kinematic structures. In this work, we propose the Unified Hand Action Space (UHAS), a sphere-based unified action representation for cross-embodiment dexterous manipulation. UHAS represents robotic hand actions as geometric deformations of a canonical sphere and uses a Cascade Inverse Kinematics (CIK) algorithm to map the shared representation to embodiment-specific joint configurations. Using reinforcement learning, we train dexterous manipulation policies directly in the proposed action space for in-hand cube reorientation tasks. We evaluate our method in both simulation and real-world experiments across multiple robotic hands, i
该研究对于解决当前领域面临的挑战具有重要意义。
论文提出了一种新颖的方法来解决相关问题。
论文通过大量实验验证了所提方法的有效性。
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