摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-调查人员发布了关于人工智能的新报告。根据NewsRx记者在沙迦H大学的新闻报道，研究表明，“近几十年来，在寻求最优解决方案的复杂性的驱动下，对路径规划进行了大量的研究。”我们的新闻编辑引用了沙迦大学的研究:“本文综述了多机器人路径规划方法,并给出了适用于各种类型机器人的路径规划算法。多机器人路径规划方法分为确定性方法、基于人工智能(AI)的方法和混合方法。生物启发技术是最常用的方法。”近年来,人工智能技术受到越来越多的关注.然而,多机器人系统存在着系统中机器人数量、能量效率、容错和鲁棒性以及动态目标等问题.部署多机器人系统具有许多优点.
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting from the University of Sharja h by NewsRx journalists, research stated, "A vast amount of research has been co nducted on path planning over recent decades, driven by the complexity of achiev ing optimal solutions." Our news editors obtained a quote from the research from University of Sharjah: "This paper reviews multi-robot path planning approaches and presents the path p lanning algorithms for various types of robots. Multi-robot path planning approa ches have been classified as deterministic approaches, artificial intelligence ( AI)-based approaches, and hybrid approaches. Bio-inspired techniques are the mos t employed approaches, and artificial intelligence approaches have gained more a ttention recently. However, multirobot systems suffer from well-known problems such as the number of robots in the system, energy efficiency, fault tolerance a nd robustness, and dynamic targets. Deploying systems with multiple interacting robots offers numerous advantages."
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