The First Commercial High-DOF,Multi-modal,Perceptive
Intelligent General-Purpose Dexterous Hand
High Reliability
>150,000
lifespan cycles
Low-power
Posture holding
without power drain
High-DOF
19 DOF
12 active and 7 passive
Strong Compatibility
Supports mainstream robot protocol and formats
High Integration
Integrates diverse communication protocol
Secondary Development
Fingertip Strength
Single finger
1,000g
load capacity
Easy Maintenance
5 fingers
Independently
Replaceable
Multi-modal
Four perceivable modalities
Position, Force, Slip
and Proximity
High Reliability
>150,000
lifespan cycles
Low-power
Posture holding
without power drain
High-DOF
19 DOF
12 active and 7 passive
Strong Compatibility
Supports mainstream robot protocol and formats
High Integration
Integrates diverse communication protocol
Secondary Development
of DexHand tactile algorithms
Fingertip Strength
Single finger
1,000g
load capacity
Easy Maintenance
5 fingers
Independently
Replaceable
Multi-modal
Four perceivable modalities
Position, Force, Slip
and Proximity
Specifications
Joints
15
Weight
1.0kg
Drive Type
Motor
Transmission
Rope
Voltage
DC 24V
Static Current
0.1A
Maximum Current
7.4 A
Load Capacity
5kg
Communication
CAN, CANFD
Cycle Time
<1.0s
Cooling Capacity
2.38cfm
Lifespan
>150,000 cycles
Sensors
Position, Tactile, Force
Control Modes
Position, Trajectory, Force
OS
ROS1, ROS2, micro-ROS
Dexterous Operation
Hand rotation, multi-object grasping
supports 15+ human hand operations
such as cylindrical grasp, spherical grasp, and multi-finger pinching, etc.
Development Ecosystem
Multiple communication protocol open architecture for tactile algorithm development
Tactile Sensors
Normal Force: 20N
Proximity: ≥1cm
AI Capabilities
Simulation: model, physics engine, scenarios, real-time visualization
Toolkit: motion mapping, teleoperation, reinforcement & imitation learning(with preset scenarios)
Ecosystem: motion capture, VR integration(input/output), gesture recognition
Support: open protocol, custom scenes, algorithm extensions, ROS integration
Simulation
model, physics engine, scenarios, real-time visualization

Toolkit
motion mapping, teleoperation
reinforcement & imitation learning(with preset scenarios)

Ecosystem
motion capture, VR integration(input/output)
gesture recognition

Support
open protocol, custom scenes, algorithm extensions
ROS integration
Structure and Dimensions
Motion Parameters
Protocol Information