Decentralized probabilistic multi-robot collision avoidance is a research area focusing on constructing uncertainty-aware safe regions for each robot to navigate among other robots and static obstacles. This approach is scalable, communication-free, and robust to localization and sensing uncertainties, making it suitable for various robot dynamics and environments. By considering the uncertainties in robot localization, this method helps robots avoid collisions while navigating in complex environments.