RAPIDDS unifies task-level and motion-level adaptation in human-robot teaming by modeling individualized spatial and temporal behaviors across multiple cycles and jointly optimizing schedules and diffusion-based motions.
Semi-supervised learning of decision-making models for human-robot collaboration
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Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming
RAPIDDS unifies task-level and motion-level adaptation in human-robot teaming by modeling individualized spatial and temporal behaviors across multiple cycles and jointly optimizing schedules and diffusion-based motions.