期刊文献+

轮式移动机器人自主导航计量评价现状 被引量:2

Status of Metrological Evaluation for Autonomous Navigation of Wheeled Mobile Robot
下载PDF
导出
摘要 自主导航是评价轮式移动机器人智能化程度的核心指标,但是目前轮式移动机器人自主导航性能的计量评价仍处于起步阶段,计量评价指标体系和评价方法严重缺失。本文介绍了现有轮式移动机器人自主导航的架构及路径规划算法,分析了轮式移动机器人自主导航的性能指标,归纳国内外轮式移动机器人自主导航计量评价领域的研究现状。在此基础上,总结轮式移动机器人计量评价技术的关键技术难点,推进轮式移动机器人计量评价技术的发展。 Autonomous navigation is the core index to evaluate the intelligent degree of wheeled mobile robot,but the metrological evaluation of autonomous navigation performance is still in its infancy,and the metrological evaluation index system and evaluation method are seriously missing.This paper investigates the existing wheeled mobile robot autonomous navigation architecture and path planning algorithm,analyzes the performance index of wheeled mobile robot autonomous navigation,and summarizes the research status of autonomous navigation metrological evaluation for wheeled mobile robots.On this basis,the key technical difficulties of metrological evaluation technology for wheeled mobile robot are summarized to further promote the development of metrological evaluation technology for wheeled mobile robots.
作者 姜延欢 杨永军 李新良 吴娅辉 刘渊 田森 JIANG Yanhuan;YANG Yongjun;LI Xinliang;WU Yahui;LIU Yuan;TIAN Sen(Changcheng Institute of Metrology&Measurement,Beijing 100095,China)
出处 《计测技术》 2021年第2期81-86,共6页 Metrology & Measurement Technology
基金 国家“十四五”技术基础科研项目 创新基金项目(ZC02101582)。
关键词 移动机器人 自主导航 SLAM 路径规划 计量评价 mobile robot autonomous navigation SLAM path planning metrology and evaluation
  • 相关文献

参考文献5

二级参考文献48

  • 1李德毅,刘常昱,杜鹢,韩旭.不确定性人工智能[J].软件学报,2004,15(11):1583-1594. 被引量:396
  • 2冯琦,周德云.基于微分进化算法的时间最优路径规划[J].计算机工程与应用,2005,41(12):74-75. 被引量:31
  • 3TAN Guan-Zheng,HE Huan,SLOMAN Aaron.Ant Colony System Algorithm for Real-Time Globally Optimal Path Planning of Mobile Robots[J].自动化学报,2007,33(3):279-285. 被引量:26
  • 4黄庆成,洪炳熔,厉茂海,罗荣华.基于主动环形闭合约束的移动机器人分层同时定位和地图创建[J].计算机研究与发展,2007,44(4):636-642. 被引量:8
  • 5R Smith,M Self,P Cheeseman.Estimating uncertain spatial relationships in robotics[C].In:Proc of Conf on Uncertainty in Artificial Intelligence.Amsterdam:North-Holland,1988.435-461
  • 6S Huang,G Dissanayake.Convergence analysis for extended Kalman filter hased SLAM[C].IEEE Int'l Conf on Roboties and Automation,Orlando,Florida,2006
  • 7Tim Bailey,Juan Nieto,Jose Guivant,et al.Consistency of the EKF-SLAM algorithm[C].IEEE/RSJ Int'l Conf on Intelligent Robots and Systems,Beijing,2006
  • 8K Murphy.Bayesian map learning in dynamic environments[C].In:Proc of the Conf on Neural Information Processing Systems.Denver,CO,USA:NIPS Press,1999.1015-1021
  • 9A Doucet,J de Freitas,K Murphy,et al.Rao-Blackwellized particle filtering for dynamic Bayesian networks[C].In:Proc of the Conf on Uncertainty in Artificial Intelligence.Stanford,CA,USA:UAI Press,2000.176-183
  • 10M Montemerlo,S T D Koller,B Wegbreit.FastSLAM 2.0:An improved particle filtering algorithm for simultaneous localization and mapping that provably converges[C].In:Proc of the Int'l Conf on Artificial Intelligence.Acapulco,Mexico:UCAI Press,2003.1151-1156

共引文献84

同被引文献7

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部