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Research PaperResearchia:202607.31088

UniCross: Unified Cross-Skill Dexterous Manipulation Synthesis

Hui Zhang

Abstract

Many dexterous manipulation tasks require the object to remain securely held throughout the interaction. From the perspective of hand-object relational motion, such manipulation comprises four canonical skills: grasping, relocation, in-hand rotation, and in-hand translation. Human hands flexibly compose these skills to accomplish complex tasks. Existing approaches, however, model these skills separately with skill-specific action constraints, objectives, or even dedicated hand morphologies, whic...

Submitted: July 31, 2026Subjects: Robotics; Robotics

Description / Details

Many dexterous manipulation tasks require the object to remain securely held throughout the interaction. From the perspective of hand-object relational motion, such manipulation comprises four canonical skills: grasping, relocation, in-hand rotation, and in-hand translation. Human hands flexibly compose these skills to accomplish complex tasks. Existing approaches, however, model these skills separately with skill-specific action constraints, objectives, or even dedicated hand morphologies, which breaks the compatibility and continuity required for long-horizon composition. In this work, we present a unified framework that models all four skills in a single formulation that shares the same state and action spaces and a common objective structure. This formulation enables straightforward distillation of a single cross-skill policy that performs strongly on every skill, generalizes to unseen objects, stays robust to disturbances, and chains skills seamlessly into long-horizon manipulation. The framework also transfers effectively across different hand morphologies. Overall, our results suggest that different dexterous manipulation skills can be viewed as instantiations of a shared task formulation, revealing the intrinsic consistency across different behaviors.


Source: arXiv:2607.28198v1 - http://arxiv.org/abs/2607.28198v1 PDF: https://arxiv.org/pdf/2607.28198v1 Original Link: http://arxiv.org/abs/2607.28198v1

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Date:
Jul 31, 2026
Topic:
Robotics
Area:
Robotics
Comments:
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