Introduction
Passing an object between a person and a humanoid looks simple because people do it without thinking. The robot must detect where the person is holding the object decide when both parties have control regulate grip force avoid pulling and release at the right moment. The task mixes manipulation perception and social timing.
Key facts
- Handover quality depends on timing and force as well as position.
- The robot needs a safe response when the person changes grip or stops the transfer.
- China has a dedicated 2026 humanoid human robot interaction test method project.
Detect intent before changing grip
Vision can estimate hand position and object motion while force or tactile sensing can detect that another hand has made contact. The robot should not release only because a human hand entered the camera frame. Contact and motion cues make the transfer more robust.
Control force through the exchange
The robot grip must be strong enough to avoid dropping the object and compliant enough to let the person take it naturally. Wrist force sensing tactile sensors and impedance control can help detect pulling and reduce sudden force. Fragile or heavy objects need different thresholds.
Timing affects trust and throughput
A long pause after the person has taken the object feels unresponsive. Early release causes drops. Measure transfer time failed handovers unexpected pulls and how often the robot needs to reposition. Human comfort can be evaluated alongside physical success.
Design explicit failure behavior
If the object slips the person withdraws or force becomes abnormal the robot needs a defined response. It may tighten within a safe limit stop motion return to a stable pose or place the object down. Failure behavior should be tested with people only after lower risk validation.
Test different users and objects
Hand size reach speed handedness object geometry weight surface and visibility all change the interaction. A service claim should not rely on one trained operator and one box. Controlled diversity shows whether the handover policy generalizes across realistic users.
Limitations and missing information
- Human studies require appropriate safety and ethics procedures.
- Force thresholds depend on object and application.
- A successful handover does not prove general manipulation ability.
Conclusion
Human object handover is a useful benchmark because it forces a humanoid to combine safe motion contact sensing and social timing. The strongest systems will make the exchange predictable without requiring the person to learn a special robot ritual.
Sources and methodology
This guide separates published standards and official technical documents from engineering practice. Draft standards are described as work in progress. Product capability is not treated as verified unless a source supports it.
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