Dexterous Robot Hands Compared: Shadow, PaXini, Xynova, Inspire, Linkerbot and BrainCo

Dexterous robot hands

Humanoids are only as useful as their hands. A two-finger gripper can pick a box, but folding cloth, using tools or handling a cup needs fingers, tactile sensing and fine control. Dexterous robot hands have become one of the hottest areas in embodied AI research, and European labs can now choose from a wide range of models.

This guide compares dexterous hands available from Robots Europa. It is part of our education and research robots guide.


Why dexterous hands matter now

Large learning-based models for manipulation need hands that can execute what they learn. Teleoperation and imitation learning collect data through hands that mirror a human operator, so more degrees of freedom and better tactile sensing directly translate into richer datasets.

What to compare

1Degrees of freedom

Simple hands use 6 active joints with linked fingers; research hands reach 16 to 24 degrees of freedom.

2Tactile sensing

Fingertip or full-surface tactile arrays enable contact-rich tasks and safer grasping.

3Interfaces and software

CAN, CAN FD, RS485 or EtherCAT, and ROS support determine how easily the hand fits your stack.

4Weight and mounting

A heavy hand eats into the arm’s payload; check flange compatibility with your robot arm or humanoid.

Dexterous robot hands compared

HandPublished highlightsBest for
Shadow Dexterous Hand24 DoF, 20 motors, tendon drivenHigh-end manipulation research
PaXini DexH1316 DoF (13 active), 1,140 tactile units, 3,420 channels, 8 MP hand cameraTactile and contact-rich learning
Xynova Flex 223 DoF bionic configuration, 400 g palmHumanoid integration
Inspire RH56F1 with tactile sensors6 DoF, 12 joints, ±0.2 mm, closes in 0.8 s or lessHumanoid hands, teleoperation
Linkerbot Linker Hand L20About 1 kg, CAN and EtherCAT, ROS SDKResearch and integration
BrainCo Revo 16 active joints, CAN FD and RS485, rated to 30 kgBionics, education, development
Unitree Dex3-1Three-fingered hand for Unitree G1G1 manipulation

Specifications come from Robots Europa product pages and manufacturer listings.

The hands in detail

Shadow Dexterous Hand is the long-standing reference for research: 24 degrees of freedom with 20 tendon-driven motors, available in Lite and DEX-EE variants.

PaXini DexH13 tactile dexterous hand
PaXini DexH13. Image: Robots Europa

PaXini DexH13 focuses on touch: four fingers, 16 degrees of freedom of which 13 are active, 1,140 tactile units with 3,420 signal channels and an 8 MP hand-eye camera. Xynova Flex 2 offers a 23-DoF bionic configuration with a 400 g palm for humanoid builds.

Xynova Flex 2 dexterous robot hand
Xynova Flex 2. Image: Robots Europa
Linkerbot Linker Hand L20 dexterous hand
Linkerbot Linker Hand L20. Image: Robots Europa

Linkerbot Linker Hand L20 weighs around 1 kg, supports CAN and EtherCAT and has a ROS-oriented SDK; the range spans L10 to cable-driven L30. Inspire RH56F1 is a compact 6-DoF hand with 12 joints, widely used on humanoids, available with tactile sensors.

BrainCo Revo 1 dexterous bionic hand
BrainCo Revo 1. Image: Robots Europa

BrainCo Revo 1 comes from a brain-computer-interface company and bridges bionics and robotics: six active joints, CAN FD and RS485 connectivity and secondary development support. For Unitree G1 owners, Dex3-1 is the native option.

Integration tips

Confirm mechanical and electrical compatibility with your arm or humanoid, plan cable routing, and check whether your teleoperation setup (gloves, VR or exoskeleton) maps to the hand. For arms to mount hands on, see our education robot arms guide; for humanoids, our humanoid comparison.

Referral note: When you request a quote from Robots Europa, mentioning Dijipedya and referral code 08AF5658 helps your enquiry be tracked correctly.

Frequently asked questions

What is a dexterous robot hand?

A multi-fingered robotic hand with several independently controlled joints, often with tactile sensing, designed for human-like manipulation.

How many degrees of freedom do I need?

Six active joints cover many grasps. Research on in-hand manipulation benefits from 16 to 24 degrees of freedom.

Why does tactile sensing matter?

It lets the robot feel contact and slip, which is essential for fragile objects and learning contact-rich skills.

Can I fit these hands to any robot arm?

Not automatically. Check flange, weight, power and communication compatibility with your arm or humanoid.

Compare dexterous robot hands and request a quote for your lab.

See robot hands

Affiliate link: we may earn a commission if you buy through it, at no extra cost to you.

PAYLAŞ

Leave a Comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Scroll to Top