首页|Reports from Beijing Forestry University Advance Knowledge in Robotics (A Lightw eight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dens e Simultaneous Localization and Mapping System for Multiple Mobile Vehicles)
Reports from Beijing Forestry University Advance Knowledge in Robotics (A Lightw eight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dens e Simultaneous Localization and Mapping System for Multiple Mobile Vehicles)
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 – Investigators discuss new findings in robotics. According to news originating fromBeijing, People’s Republic of China , by NewsRx editors, the research stated, “Simultaneous LocalizationAnd Mapping (SLAM) algorithms play a critical role in autonomous exploration tasks requirin g mobilerobots to autonomously explore and gather information in unknown or haz ardous environments wherehuman access may be difficult or dangerous.”
Beijing Forestry UniversityBeijingPe ople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-ro botRobotRobotics
NETL
NSTL
