Honpine
English
русскийрусский

High Performance 17 DoFs Dexterous Hand for Robotic Systems

  • High Performance 17 DoFs Dexterous Hand for Robotic Systems

●  Introduction

HONPINE 07 robot hand is a high-performance dexterous hand with 17 DoFs. Powered by self-developed motors, it balances cost control with reliable grasping and operation performance, meeting diverse application needs. It provides ROS plugins for secondary development, suitable for education & research, auxiliary grasping, and intelligent interaction—offering an efficient, economical dexterous hand solution for robotic systems.
Contact Us

Features 

●Human-Like Configuration & Multi-DoF

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 robotic arms: UR, Franka, XArm, RealMan, Songling

●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

Degrees of Freedom7
Number of Joints17 (7 active + 10 passive)
Transmission TypeWorm gear drive
Control InterfaceCAN/RS485
Weight634.5g
Maximum Load25kg
Operating VoltageDC24V±10%
Static Current0.2A
Average No-load Operating Current0.7A
Maximum Current2.6A
Repeat Positioning Accuracy<±0.2mm
Opening/Closing Time1.25s
Maximum Thumb Tip Force14N
Maximum Four-Finger Tip Force14N
Maximum Five-Finger Gripping Force60N

Communication Methods 

●Supported robotic arms: UR, Franka, XArm, RealMan, Songling

●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++