LES: Locally Exploitative Sampling for Robot Path Planning
Sagar Suhas Joshi,Seth Hutchinson,Panagiotis Tsiotras,Sagar Suhas Joshi,Seth Hutchinson,Panagiotis Tsiotras
Sampling-based algorithms solve the path planning problem by generating random samples in the searchspace and incrementally growing a connectivity graph or a tree. Conventionally, the sampling strategy used in these algorithms is biased towards exploration to acquire information about the search-space. In contrast, this work proposes an optimization-based procedure that generates new samples so as...
