SOURCE-LINKED INTELLIGENCE
Pack It My Way: Triadic Human-Robot Collaboration for Personalized Autonomous Packing
Personalized autonomous packing requires robots to account for resident preferences that cannot be inferred from scene geometry alone. Expert teleoperators can interpret these preferences and translate them into feasible robot actions, but continuous expert involvement limits scalable deployment. In this paper, we investigate triadic human-robot collaboration among a resident, a correction mediator, and a robot by comparing human-expert and voice-agent mediation. We evaluate the two conditions in a user study across Protection, Compactness, andGrouping tasks, using a Show-Correct-Generalize pr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T01:49:10.000Z
First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.