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.
Probabilistically safe robot planning with confidence-based human predictions
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A hybrid navigation system uses offline HJ reachability computations as heuristics and safety constraints within graph search to achieve faster and safer robot movement in complex indoor environments.
citing papers explorer
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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.
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A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation
A hybrid navigation system uses offline HJ reachability computations as heuristics and safety constraints within graph search to achieve faster and safer robot movement in complex indoor environments.