robotics
The Robots Share What They Cannot See
CoopUQ fuses occupancy forecasts across robots and makes uncertainty itself part of the navigation cost.
Summary
CoopUQ fuses occupancy forecasts across robots and makes uncertainty itself part of the navigation cost.
One robot may miss a pedestrian hidden from its sensors while another has a better view. CoopUQ combines cross-robot features into future occupancy maps, estimates uncertainty and penalizes policies for entering regions predicted to be occupied or poorly known. In simulated layouts with varied density, occlusion and rushing behavior, the authors report better prediction and safety than representative baselines, including under distribution shifts. Real-robot experiments provided additional robustness evidence. The paper does not establish safety in open public spaces, but it ties cooperation to a shared map of risk rather than consensus for its own sake.
Why it matters
CoopUQ fuses occupancy forecasts across robots and makes uncertainty itself part of the navigation cost.
Limits and context
- The paper does not establish safety in open public spaces, but it ties cooperation to a shared map of risk rather than consensus for its own sake.
Key claims
CoopUQ fuses occupancy forecasts across robots and makes uncertainty itself part of the navigation cost.
Qualification: The paper does not establish safety in open public spaces, but it ties cooperation to a shared map of risk rather than consensus for its own sake.
Evidence: source-2026-10-20-009
Sources
- arXiv preprint 2610.26852, original v1arXiv · primary research
Corrections
No corrections have been recorded for this story.