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GenDexHand: Generative Simulation for Dexterous Hands

Feng Chen*, Zhuxiu Xu*, Tianzhe Chu, Xunzhe Zhou, Li Sun, Zewen Wu, Shenghua Gao, Zhongyu Li, Yanchao Yang, Yi Ma

* Equal contribution.

arXiv2025Generative simulation

Overview

GenDexHand is a generative simulation pipeline for dexterous hands. It turns task ideas into scalable, high-quality trajectory data by combining language and vision models with motion planning, degree-of-freedom constraints, and task decomposition.

From task ideas to learning

  • Generate tasks: synthesize dexterous manipulation scenarios.
  • Refine the scene: use VLM feedback to adjust object placements and scales.
  • Break down the task: decompose complex tasks into subtasks for sequential reinforcement learning.

My contribution

I developed the generative simulation pipeline, connecting task synthesis, visual refinement, and sequential learning for dexterous hands.

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