Numerical Approach to Reachability-Guided Sampling-Based Motion Planning Under Differential Constraints.

This paper presents a new method for motion planning under differential constraints by incorporating a numerically solved discretized representation of reachable state space for faster state sampling and nearest neighbor searching. The reachable state space is solved for offline and stored into a “reachable map” which can be efficiently applied in online planning. State sampling is performed only ...