SOURCE-LINKED INTELLIGENCE
A Physics-Consistent Benchmark for Contact-Rich Human-Robot Interaction in Assistive Care
Conventional task-level evaluation asks whether a robot policy completes a specified action, but can miss failures that emerge only during physical human contact. This limitation is critical in contact-rich assistive tasks, where meaningful evaluation requires a physically responsive human, interaction-quality assessment beyond task success, and a leak-free observer-scorer protocol. We introduce a physics-consistent benchmark for contact-rich human-robot interaction, instantiated in robot-assisted bathing. The benchmark combines a deformable, passively responding human, physics-aware scores al
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T10:14:32.000Z
First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.