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DEXTEROUS MANIPULATION

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DexPoint

DexPoint research team

Point-cloud reinforcement learning for generalizable dexterous manipulation.

What you can explore

Inspect the released environments, point-cloud inputs and training workflow.

Before you use it

Use the authors’ simulator and dependency versions. Reported sim-to-real results do not validate another hand or camera setup.

Original contributors

Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su and Xiaolong Wang

License / access: MIT · check model, data and dependency terms separately

Original code & documentation

Editorial reference · checked 2026-09-22

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