Adaptive Fuzzy Interrupt System for Communication between Humans and Robots
An adaptive fuzzy interrupt system (AFIS) is proposed to optimize responsiveness of robots in humans-robots communication. The system guarantees a continuous and efficient human-robot interaction by assigning priority to the given instruction and it remains immune to distractions caused by conflicting instructions. Experiments to simulate actions of the eye robot, mobile robot, and information retrieval engine involving 10,000 instructions show a 14％ improvement in the system responsiveness and a delay time of less than 2 seconds. The proposal aims to facilitate natural humans-robots communication with limited interruption.
Index Terms-Interruption Fuzzy Logic Middleware Human-Robot Communication
Hai An Vu Yan Dongfang Kaoru Hirota
Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan
国际会议
哈尔滨
英文
121-127
2010-08-01（万方平台首次上网日期，不代表论文的发表时间）