2017
On the performance of selective adaptation in state lattices for mobile robot motion planning in cluttered environments
IROS 2017poster
Autonomous mobile robots require motion planning algorithms that match limitations of on-board computing resources to safely navigate complex environments. In situations where near-optimality is preferential to runtime performance, search spaces that optimize their local connectivity to improve the…