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http://dx.doi.org/10.5391/JKIIS.2004.14.6.720

Implementation of Intelligent and Human-Friendly Home Service Robot  

Choi, Woo-Kyung (중앙대학교 전자전기공학부)
Kim, Seong-Joo (중앙대학교 전자전기공학부)
Kim, Jong-Soo (중앙대학교 전자전기공학부)
Jeo, Jae-Yong (한국기술교육대학교 정보기술공학부)
Jeon, Hong-Tae (중앙대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 720-725 More about this Journal
Abstract
Robot systems have applied to manufacturing or industrial field for reducing the need for human presence in dangerous and/or repetitive tasks. However, robot applications are transformed from industrial field to human life in recent tendency Nowadays, final goal of robot is to make a intelligent robot that can understand what human say and learn by itself and have internal emotion. For example Home service robots are able to provice functions such as security, housework, entertainment, education and secretary To provide various functions, home robots need to recognize human`s requirement and environment, and it is indispensable to use artificial intelligence technology for implementation of home robots. In this paper, implemented robot system takes data from several sensors and fuses the data to recognize environment information. Also, it can select a proper behavior for environment using soft computing method. Each behavior is composed with intuitive motion and sound in order to let human realize robot behavior well.
Keywords
Soft Computing; Sensor Fusion; Action Module; Intelligent Service Robot;
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1 변증남, 퍼지논리제어, 흥릉과학출판사, 1997.
2 O. Causse and L. H. Pampagnin, "Management of a Multi-robot System in a Public Environment", Proceedings of IEEE International Conference on Intelligent Robots and Systems, pp. 246-252, 1995.   DOI
3 Ren C. Luo., "Multisensor Fusion and Integration: Approaches", IEEE SENSORS JOURNAL, Vol. 2, No. 2, Apr. 2002.
4 Wako Tojima., "Robot kyoshitu", Kobunsha, 2001.
5 K. C. Tan, K. K. Tan, T. H. Lee, S. Zhao, Y. J. Chen, "Autonomous robot navigation based on fuzzy sensor fusion and reinforce-ment learning", Pro. IEEE Conf. on Intelligent Control, pp182 - 187, 2002.   DOI
6 M. Kam, Zhu, Xiaoxun and P. Kalata, "Sensor Fusion for mobile robot navigation", Pro. of the IEEE, vol. 85, Issue 1, pp.108-119, 1997.   DOI   ScienceOn
7 http://www.car123tec.co.kr/carcare/sensor _main.html
8 Simon Haykin, Neural Networks - A Comprehensive Foundation, Prentice-Hall Inc., 1999.
9 J.-S. R. Jang, C.-T. Sun and E. Mizutani, Neurao -Fuzzy and Soft Computing, Prentice-Hall Inc., 1997.
10 문병로, Genetic Algorithm, 두양사, 2003.