Deep reinforcement learning-based reactive planner for large-scale Lidar-based autonomous robot exploration in 2D action space with novel alpha conditioning for exploration-exploitation control.
Path planning in unknown environments is a crucial yet inherently challenging capability for mobile robots, which primarily encompasses two coupled tasks: autonomous exploration and point-goal navigation. In both cases, the robot must perceive the …