RH56F1
The RH56F1 is a 5-finger dexterous robotic hand from Inspire Robotics featuring an all-metal integrated skeleton for high rigidity, 6 degrees of freedom across 12 joints, and 6 linear servo actuators for precise, human-like movements. It integrates pressure sensors for adaptive gripping of objects with varying hardness, supports force/position control, and is designed for applications like service robots, teaching aids, and prosthetics with concise interface commands for quick manipulation.
Robot Specifications
- Physical & Basic InformationPhysical & Basic
- Performance, Sensing & Control
- Software, Logistics & Integration
Hand Type
anthropomorphic
Intended Robot Type
humanoid
Number of Fingers
5
Status
commercial
Thumb Config
opposable
Total DOF
6
DOF Per Finger
1 (underactuated, with 12 total joints)
Independent Actuators
6
Underactuated Design
yes
Palm Width (mm)
92 mm
Hand Length (mm)
202 mm
Hand Thickness (mm)
52 mm
Weight (g)
620 ±10
Materials
all-metal skeleton, tendon cables
Finger Link Segments
3 segments per finger
Finger Joint Types
revolute, tendon-driven
Actuator Type
linear servo
Actuator Location
in-hand
Available Countries
China, Germany, USA
Image Gallery
Below images are from Inspire Robotics's official sources
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Frequently Asked Questions
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Q1. What is the humanoid robot hand RH56F1, and what problem does it solve?
The RH56F1 is a five-finger anthropomorphic robotic end-effector manufactured by Inspire Robotics designed for humanoid robots and mobile manipulators. It addresses the limitation of conventional parallel grippers by enabling human-like grasping patterns and contact-rich manipulation tasks that require dexterous finger control.
Q2. What are the main capabilities and key features of RH56F1?
The RH56F1 features six degrees of freedom across twelve motor joints, an all-metal integrated skeleton for structural rigidity, built-in pressure sensors for grip control, and support for mixed force and position control. According to the manufacturer, the hand integrates linear servo actuators with sensor fusion and algorithms for adaptive grasping.
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