CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting

Zehao Wang, Jianpeng Yao, Yuping Wang, Yiping Li, Jiaqi Li et al.|October 19, 2026arXiv

Key Takeaway

Multi-robot navigation becomes safer and more robust by having robots cooperatively predict future occupancy with uncertainty estimates, then using those predictions to constrain navigation decisions rather than relying on individual robot perception alone.

Summary

CoopUQ enables multiple robots to navigate safely around humans by combining uncertainty-aware predictions of future occupancy with cooperative decision-making.

agents safety reasoning

Key Terms

occupancy-prediction uncertainty-quantification multi-agent-reinforcement-learning out-of-distribution spatiotemporal-fusion