首页|Recent Studies from National Institute of Metrology Add New Data to Robotics (Ro bust and Convergent Distributed Cooperative Localization With Labeled Bernoulli Random Finite Set)
Recent Studies from National Institute of Metrology Add New Data to Robotics (Ro bust and Convergent Distributed Cooperative Localization With Labeled Bernoulli Random Finite Set)
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 – Research findings on Robotics are discussed in a new report. According to news reporting originating from Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Cooperative localizati on (CL) is critical for multirobot systems to accurately ascertain their positio ns in the environment. This article presents a robust and convergent distributed CL algorithm to effectively address localization inaccuracies and inconsistency caused by intermittent or limited absolute observation capabilities.”
BeijingPeople's Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsNationa l Institute of Metrology
NETL
NSTL
