Abstract: In the field of autonomous navigation for drones, efficient path planning is the key to achieving safe and fast arrival at the target. This article proposes a hybrid algorithm that combines ...

This paper proposes a self-learning Monte Carlo tree search algorithm (SL-MCTS), which has the ability to continuously improve its problem-solving ability in single-player scenarios. SL-MCTS combines ...

Abstract: Due to the combination of wheeled structure and leg capability, the wheeled configuration of legged robots is variable and the movement speed is fast, resulting in high work efficiency.

A hybrid of probabilistic roadmaps and bidirectional A* search produced shorter paths and faster planning times than Dijkstra ...