Ppnet: A Two-Stage Neural Network for End-to-End Path Planning
Ppnet: A Two-Stage Neural Network for End-to-End Path Planning
The classical path planners, such as sampling-based path planners, can provide probabilistic completeness guarantees in the sense that the probability that the planner fails to return a solution if one exists, decays to zero as the number of samples approaches infinity. However, finding a near-optimal feasible solution in a given …