Safe Robot Navigation in Crowded Environments with Distributionally Robust Control
The author introduces a distributionally robust chance-constrained model predictive control (DRCC-MPC) to address the challenge of safe robot navigation in crowded environments. By incorporating probability of collision as a risk metric, the approach offers computational efficiency and robustness against uncertainties in human motion.
