Conformal Constraint Tightening for Chance-Constrained Motion Planning with Unknown Dynamics
This letter contributes a planner-agnostic constraint-tightening procedure that equips existing planners with a probabilistic task-completion guarantee on the true system, and validate the theoretical guarantees empirically and demonstrate substantially improved task completion relative to nominal-model planning.