Findings from Hangzhou Dianzi University Update Knowledge of Robotics (Bevnav: R obot Autonomous Navigation Via Spatialtemporal Contrastive Learning In Bird’s-e ye View)
Findings from Hangzhou Dianzi University Update Knowledge of Robotics (Bevnav: R obot Autonomous Navigation Via Spatialtemporal Contrastive Learning In Bird’s-e ye View)
杭州电子大学机器人知识更新研究结果(Bevnav:R obot自主导航的时空对比研究视角)
扫码查看
点击上方二维码区域，可以放大扫码查看
摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论机器人的新发现。根据新闻报道《中华人民共和国杭州》，由NewsRx编辑撰写，研究称，“驱动移动机器人”map-le SS环境下的导航需要有效的状态表示来实现可靠的决策。受点cl中鸟瞰图(BEV)对视觉感知的有利特性启发，本文本文介绍了一种新的导航方法NA Med BEVNav。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting outof Hangzhou, People’s Republic of Chin a, by NewsRx editors, research stated, “Driven mobile robotnavigation in map-le ss environments requires effective state representations for reliable decision-m aking.Inspired by the favorable properties of Bird’s-Eye View (BEV) in point cl ouds for visual perception, thispaper introduces a novel navigation approach na med BEVNav.”
Key words
Hangzhou/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robo tics/Hangzhou Dianzi University
NETL
NSTL