Self-Learning Robot Autonomous Navigation with Deep Reinforcement Learning Techniques

Complex and high-computational-cost algorithms are usually the state-of-the-art solution for autonomous driving cases in which non-holonomic robots must be controlled in scenarios with spatial restrictions and interaction with dynamic obstacles while fulfilling at all times safety, comfort, and lega...

詳細記述

書誌詳細

出版年:	Applied Sciences
主要な著者:	Borja Pintos Gómez de las Heras, Rafael Martínez-Tomás, José Manuel Cuadra Troncoso
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-12-01
主題:	autonomous robots deep reinforcement learning dynamic environment comfort driving self-learning
オンライン･アクセス:	https://www.mdpi.com/2076-3417/14/1/366