Introduction
Two recent Chinese dexterous-hand showcases highlight tactile sensing, force control and task data alongside joint count. INSPIRE showed its hands in real-scenario challenges, while Xynova presented dexterous-hand manipulation in Hangzhou.
A hand with many degrees of freedom can still fail if contact sensing is noisy, fingertips wear quickly or the controller cannot regulate grip force.
Information verified from official sources available as of September 26, 2026.
Measurements to compare humanoid hands
| Metric | What it measures | Failure it exposes |
|---|---|---|
| DOF | Commanded motion space | Limited pose flexibility |
| Force resolution | Small force changes | Crushing or weak grip |
| Tactile sampling | Contact update rate | Late slip detection |
| Repeatability | Pose/grasp consistency | Variable placement |
| Cycle life | Durability | Wear and calibration drift |
| Task success | Complete manipulation | System-level failure |
DOF describes motion space, not grasp quality
Degrees of freedom tell you how many independent motions a hand can command. They do not measure fingertip force resolution, backlash, contact detection or repeatability.
Two hands with similar DOF counts can behave very differently on a cable, thin sheet or fragile object.
Tactile data needs calibration and durability tests
Useful specifications include minimum detectable force, sampling rate, taxel density, drift and hysteresis.
Those measurements should be repeated after thousands of grasp cycles to show whether sensing changes with wear.
Factory tasks make failure modes visible
Assembly and material handling expose slip, misalignment and contact-force errors that visual demonstrations can hide.
Report successful grasps, damaged objects, dropped objects and cycle time across varied object positions.
Limitations and missing information
- Public demonstrations do not provide one common benchmark across hand vendors.
- Manufacturer sensor claims should be tied to test conditions and cycle life.
Sources and methodology
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