摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的结尾。根据新闻报道中国长沙，NewsRx编辑，研究称，“本文提出了一个无地图的面向计算的工业自动移动机器人(AMRs)导航方法效率、成本效益和适应性。利用深度强化学习(DRL)实现了系统无需固定标记或频繁更新地图即可实现实时决策。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting out ofChangsha, People’s Republic of China, by NewsRx editors, research stated, “This paper presents a map-freenavi gation approach for industrial automatic mobile robots (AMRs), designed to ensur e computationalefficiency, cost-effectiveness, and adaptability. Utilizing deep reinforcement learning (DRL), the systemenables real-time decision-making with out fixed markers or frequent map updates.”
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