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AI CLUSTERED EVENT · 10/11/2026

WUJI Hand 2 Open-Sourced: Sim-to-Real Pen Spinning via MuJoCo and PPO on a 20-Joint Robot Hand

1 reports archived1 independent sourcesupdated 10/11/2026, 06:19:23
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WUJI released and open-sourced the WUJI Hand 2, demonstrating high-dexterity pen spinning capabilities trained in simulation and deployed directly to hardware. The approach utilizes the mjlab toolkit within MuJoCo to run 4,096 parallel virtual copies, employing Proximal Policy Optimization (PPO) to learn from 40 reference motion trajectories for efficient sim-to-real transfer. Code and setup guides are now fully available for developers to reproduce this reinforcement learning-based dexterous manipulation paradigm.

LATEST/WUJI released and open-sourced the WUJI Hand 2, demonstrating high-dexterity pen spinning capabilities trained in simulation and deployed directly to hardware. The approach utilizes the mjlab toolkit within MuJoCo to run 4,096 parallel virtual copies, employing Proximal Policy Optimization (PPO) to learn from 40 reference motion trajectories for efficient sim-to-real transfer. Code and setup guides are now fully available for developers to reproduce this reinforcement learning-based dexterous manipulation paradigm.

HEAT TRENDHourly heat curve

27 fully observed hours
Now
9.1
Peak
16.607:00
24h change
-43%

The line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.

TIMELINECoverage timeline

Total 1 reports · Latest first
  1. Rohan Paul (@rohanpaul_ai)T2·68 pts
    • The WUJI Hand 2 features 20 independently driven joints (4 per finger) supporting a 1,000 Hz control rate for high-dynamics tasks.
    • Utilizes mjlab, MuJoCo, and PPO with 4,096 parallel simulations to accelerate policy convergence, successfully achieving Sim-to-Real transfer for pen spinning.
    • Code, setup guides, and sensor glove teleoperation solutions are fully open-sourced, lowering barriers for dexterous hand RL research.