Distributionally Robust Risk-Bounded Path Planning Through Exact Spatio-temporal Risk Allocation
Planning safe paths in the presence of uncertainty is considered a central challenge in enabling robots to successfully navigate in real-world environments. Assumptions about Gaussian uncertainty are rarely justifiable based on real data and can lead to serious miscalculations of risk. Lately, it has become increasingly common to consider distributionally robust uncertainty, where the exact distri