Stepan Dergachev

Decentralized Uncertainty-Aware Multi-Agent Collision Avoidance With Model Predictive Path Integral*

Decentralized multi-agent navigation under uncertainty is a complex task that arises in numerous robotic applications. It requires collision avoidance strategies that account for both kinematic constraints, sensing and action execution noise. In this paper, we propose a novel approach that integrate