● Introduction
Features
Highly mimics the human hand structure, enabling precise simulation
of various grasping and operation postures to adapt to complex task
scenarios.
●Self-Locking & High-Torque Transmission
Self-developed worm gear drive system delivers strong high-torque
output and self-locking function, ensuring precise control and power-off
holding for enhanced safety.
●Edge-Cloud Integration & One-Click Deployment
Innovative edge-cloud architecture leverages cloud skill libraries,
allowing quick deployment of operation skills without coding—lowering
usage thresholds and development difficulty.
Communication Methods
Robot Hand Interfaces
●Supported data acquisition methods: teleoperation gloves, exoskeleton gloves, liquid metal gloves, vision, VR (Meta Quest 3)
●Supported simulators: PyBullet, Isaac, MuJoCo
●Supported interfaces: CAN, 485
●Example usage: ROS1, ROS2, Python, C++
Specification
Sheet 1
Communication Methods
●CAN Interface
Utilizes a proprietary protocol; baud rate is 1Mbps; default device IDs: left hand 0x28, right hand 0x27; supports broadcast ID 0xFF (for addressing, identification, and debugging).
●RS485 Interface
Adopts the Modbus protocol; baud rate is 115200bps; default device IDs: left hand 0x28, right hand 0x27; supports function codes: 03/04/06/16; UART settings are fixed: 8 data bits, 1 stop bit, no parity.