@inproceedings{57e491c7a4124039ad7973234f3ed1d8,
title = "Adaptive fuzzy interrupt system for communication between humans and robots",
abstract = "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.",
keywords = "Fuzzy logic, Human-robot communication, Index terms-interruption, Middleware",
author = "Vu, \{Hai An\} and Dongfang Yan and Hirota Kaoru",
year = "2010",
language = "English",
isbn = "9787121113154",
series = "4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010",
pages = "121--127",
booktitle = "4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010",
note = "4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010 ; Conference date: 02-08-2010 Through 08-08-2010",
}