OmniHand 3 Ultra-M

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Engineered for continuous-duty research, embodied AI training, and the experiments that will define the new era of manipulation.

Form Factor & Strength

20 active DoF in a 630-gram, human-scale build — designed for the highest force density in its category.

Continuous-Duty Reliability

40–45 °C surface temperature under continuous load. 500K validated cycles delivering sustained performance.

Clean Data, by Design

Direct-drive at every joint. ±0.2 mm repeatability across the full workspace, with joint states read directly from each actuator's encoder — a hand that controllers and learned policies can trust as ground truth.

Vision-Based Tactile Sensing

Three-dimensional force vectors with 0.08 mm deformation precision across a 0–30 N range — at the precision required to distinguish slip from contact, edge from surface.

Human-Scale Form Factor, Flagship Performance

Human-Scale Form Factor, Flagship Performance

Designed for embodied AI training, teleoperation & demonstration capture, and bimanual contact-rich manipulation research.

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Hardware

Tactile Sensor

Software

Degrees of Freedom 20 Active
Dimensions 189.5*88.5*40mm
Weight 630g
Payload 3kg stable grasping · 8kg lifting capacity
Opening/ Closing Time (Typ.) 0.3 s
Repetitive Positioning Accuracy ±0.2mm
Fingertip
Sensing Approach Vision-based tactile, texture recognition, 3D distributed force + 6D resultant
Force Detection Range 0–30N
Force Sensing Resolution 0.005N
Spatial Resolution 0.04mm
Deformation Field Accuracy 0.08mm
Palm
Sensing Approach 3D tactile sensor
Force Sensing Resolution 0.1N
Number of Tactile Pixels 300
Communication Interface CANFD/ RS485/ Ethernet
What You Get on Day ONE

What You Get on Day ONE

SDKs

C++ and Python, with full API coverage.

Simulation

Native assets for NVIDIA Isaac and MuJoCo.

ROS 2

Reference nodes for teleoperation and joint-space control.

Documentation

Full API reference and integration guides.

Open Source Ecosystem Compatible

Supports Reinforcement Learning(RL)Training

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