Most current exploration algorithms are based on heuristics and sampling/evaluating many potential viewpoints. The goal of this work is to learn an ideal motion to maximize the known space based on a local map representation.
Successfully implemented a path planner and a velocity profiler for duckiebots as part of duckietown, a robotics outreach and educational platform, while taking into account various sources of uncertainty.