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Reproduction of Revo3 dexterous hand's three pretrained policies in Isaac Lab

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Guyuehome reproduced the three official pretrained policies of the Revo3 dexterous hand in Isaac Lab for in-hand object reorientation control. The control parameters given by the reproduction are: cube random target reorientation 8 times per episode; the cylinder uses a 22.5° incremental chain, advancing once every 3.4 steps.

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  1. Reproducing Deep Reinforcement Learning Control for In-Hand Object Reorientation with the Revo3 Dexterous Hand

    This article reproduces three official pretrained policies for the Revo3 dexterous hand in Isaac Lab for in-hand object reorientation control. The cube random-target reorientation runs 8 times per episode, while the cylinder uses a 22.5° incremental chain, advancing once every 3.4 steps.

    Guyuehome ·

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Grasping and manipulationRobot models and learningData and simulationGuides and practice

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