Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning

Lukas Schmid, Chao Ni, Yuliang Zhong +2

Exploration is a fundamental problem in robotics. While sampling-based planners have shown high performance, they are oftentimes compute intensive and can exhibit high variance. To…