Use of human gestures for controlling a mobile robot via adaptive CMAC network and fuzzy logic controller
作者: Dajun ZhouMinghui ShiFei ChaoChih-Min LinLongzhi YangChangjing ShangChangle Zhou
作者单位: 1Cognitive Science Department, Fujian Provincial Key Lab of Brain-like Computing, School of Informatics, Xiamen University, Xiamen, China
2Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan
3Department of Computer and Information Sciences, Faculty of Engineering and Environment, Northumbria University, NE1 8ST, Newcastle, UK
4Department of Computer Science, Institute of Mathematics, Physics and Computer Science, Aberystwyth University, SY23 3DB, Aberystwyth, UK
刊名: Neurocomputing, 2018, Vol.282 , pp.218-231
来源数据库: Elsevier Journal
DOI: 10.1016/j.neucom.2017.12.016
关键词: Mobile robotMobile manipulatorIntelligent controlHuman–robot interactions
原始语种摘要: Abstract(#br)Mobile robots with manipulators have been more and more commonly applied in extreme and hostile environments to assist or even replace human operators for complex tasks. In addition to autonomous abilities, mobile robots need to facilitate the human–robot interaction control mode that enables human users to easily control or collaborate with robots. This paper proposes a system which uses human gestures to control an autonomous mobile robot integrating a manipulator and a video surveillance platform. A human user can control the mobile robot just as one drives an actual vehicle in the vehicle’s driving cab. The proposed system obtains human’s skeleton joints information using a motion sensing input device, which is then recognized and interpreted into a set of control...
全文获取路径: Elsevier  (合作)
影响因子:1.634 (2012)

  • robot 机扑
  • mobile 可动的
  • human 人的
  • manipulator 控制器机械手
  • fuzzy 模糊的
  • autonomous 自发的
  • adaptive 适应的
  • driving 传动的
  • controller 控制器第器
  • gesture 手势