期刊文献+

清洁机器人研究发展现状 被引量:21

Research Status and Development of Cleaning Robot
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摘要 对清洁机器人的研究发展现状及其关键技术进行了系统的综述。电源技术、机器感知技术、路径规划与定位技术是清洁机器人的关键技术。传感器技术则是制约智能机器人发展的瓶颈,增加机器人的专家知识可以弥补机器人获取信息量不足的缺憾,并可提高机器人的智能化水平。 The present situation and key technology (Power supply,robot sense,motion planning)of cleaning robot is summarized in this paper. The development of intelligent robot is conditioned by sensor, but enough knowledge can make the robot clever with insufficient information.
出处 《机械工程师》 2004年第6期9-11,共3页 Mechanical Engineer
基金 黑龙江省自然科学基金资助项目(E08)
关键词 清洁 移动机器人 传感器 路径规划 cleaning mobil robot sensor motion planning
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参考文献8

  • 1李庆中,顾伟康,叶秀清.基于遗传算法的移动机器人动态避障路径规划方法[J].模式识别与人工智能,2002,15(2):161-166. 被引量:38
  • 2E.Prassler,J.Scholz and P.Fiorini.Navigating Robotic Whelchair in a Railway Station During Rush Hour [J].The InternationalJournal of Robotic Research,1999,18(7): 1119-1128.
  • 3Joseph L,Jones.Mobil Robots[M].A K Peters,1999.
  • 4J.Markusek and A.Vitko.Navigation of autonomous robots using fuzzy-neural networks.2nd International Conference on Climbing and working Robots and the Support Thchnologies for Moible Machines,1999:123-131.
  • 5安树民.铁路部门用上了机器人[J].机器人技术与应用,1997(4):17-20. 被引量:2
  • 6杨玉勤.自动清扫机器人[J].机器人技术与应用,1997,(3):27-29.
  • 7苏丽颖,谭民.移动机器人构建地图的研究与发展[J].中国科学院研究生院学报,2002,19(2):157-162. 被引量:12
  • 8蔡自兴.机器人进化与智能机器人[J].中国第五届机器人学术会议论文集,1997,(8):6-10.

二级参考文献25

  • 1王田苗,张钹,何克忠,袁曾任.基于环境势场法的“感知-动作”行为研究[J].计算机学报,1993,16(2):89-96. 被引量:3
  • 2[1]Y Uny Cao, Alex S, Fukunaga, et al. Cooperative Mobile Robotics: Antecedents and Directions Autonomous Robots. 1997, (4): 7~27
  • 3[2]Clark F, Olson. Probabilistic Self-Localization for Mobile Robots. IEEE Transactions on Robotics and Automation, 2000, 16(1): 55~66
  • 4[3]Brian Yamauchi. Frontier-Based Exploration Using Multiple Robots. In: Proceedings of the Second International Conference on Autonomous Agents(Agents'98), Minneapolis, MN, 1998. 47~53
  • 5[4]S. Thrun, M Beetz, et al. Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva. The International Journal of Robotics Research, 2000, 19(11): 972~999
  • 6[5]Masahiro Tomono, Shin' ichi Yuta. A Framework for Indoor Navagation based on a Partially Quantitative Map. In: Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, Japan, 2000, 1: 626~632
  • 7[6]J Borenstein, H R Everett, L Feng, et al. Mobile Robot Positioning: Sensors and Techniques. Journal of Robotic Systems, 1997, 14: 231~249
  • 8[7]Louis Drolet, Francois Michaud, Jean Cté. A daptable Sensor Fusion Using Multiple Kalman Filters. In: Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, Japan, 2000, 1: 1434~1439
  • 9[8]J J Leonard, H F Durrant-Whyte. Mobile Robot Localization by Tracking Geometric Beacons. IEEE transactions on Robotics and Automation, 1991, 7: 376~382
  • 10[9]M Betke, L Gurvits. Mobile Robot Localization Using Landmarks. IEEE Transactions on Robotics and Automation, 1997, 13: 251~163

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