首页|New Robotics Study Results from Taiyuan University of Technology Described (Adap tive Autonomous Navigation System for Coal Mine Inspection Robots: Overcoming In tersection Challenges)
New Robotics Study Results from Taiyuan University of Technology Described (Adap tive Autonomous Navigation System for Coal Mine Inspection Robots: Overcoming In tersection Challenges)
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 DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to news reportingoriginating in Taiyuan, Peopl e’s Republic of China, by NewsRx journalists, research stated, “PurposeInrespon se to the navigation challenges faced by coal mine tunnel inspection robots in s emistructured under- ground intersection environments, many current studies rely o n structured map-based planning algorithmsand trajectory tracking techniques. H owever, this approach is highly dependent on the accuracy of theglobal map, whi ch can lead to deviations from the predetermined route or collisions with obstac les.”Financial supporters for this research include Fundamental Research Program of S hanxi Province, KeyR&D Program of Shanxi Province, Bidding Project of Shanxi Province.
TaiyuanPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsTaiyuan University of Technology
NETL
NSTL
