首页|University of Sharjah Researcher Describes Advances in Artificial Intelligence ( Path Planning Techniques for Real-Time Multi-Robot Systems: A Systematic Review)
University of Sharjah Researcher Describes Advances in Artificial Intelligence ( Path Planning Techniques for Real-Time Multi-Robot Systems: A Systematic Review)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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."
University of SharjahArtificial Intell igenceEmerging TechnologiesMachine LearningNano-robotRobotRobotics
NETL
NSTL
