Wuji Hand
A high-DOF dexterous hand designed for contact-rich manipulation teleoperation and imitation learning data collection. 5 fingers × 4 joints, a 24×32 tactile pressure map, IMU, and EMF sensing — rich state for training manipulation policies that generalize.
Built for Teleoperation & Policy Learning
The Wuji Hand provides a rich sensor state representation suitable for training manipulation policies that generalize across grasp types and object geometries.
Contact-Rich Manipulation
16-region tactile sensing plus 20 joint positions give a detailed state for tasks like peg insertion, deformable object manipulation, and in-hand regrasping.
Imitation Learning Data
JSONL frames captured at 30 Hz stream directly to the Fearless Platform episode browser. Export as JSONL for ACT, Diffusion Policy, or any custom pipeline.
Bilateral Teleoperation
Run two agent processes simultaneously — one per hand — connected to the same session for bimanual data collection at full resolution.
Works with OpenArm 101, DK1 Bimanual Kit, and other SVRC hardware.
Your Setup Journey
From unboxing to your first teleoperation session. Plan for about 20–30 minutes.
Unbox & USB Connect
Plug in via USB, confirm device at VID 0x0483
Install SDK
pip install wujihandpy numpy, verify device appears
Start JSONL Stream
Run wuji_hand_sdk_stream.py, verify frames at 30 Hz
Pair with Robot & Calibrate
Launch wuji_glove_agent, register with platform session
First Teleoperation Session
Record demonstration episodes; view tactile heatmap live in GloveWorkbench