Konferensartikel

Team Description of the RoboCup-NAIST

Takayuki Nakamura
Nara Institute of Science and Technology, Japan

Kazunori Terada
Nara Institute of Science and Technology, Japan

Hideaki Takeda
Nara Institute of Science and Technology, Japan

Akihiro Ebina
Nara Institute of Science and Technology, Japan

Hiromitsu Fujiwara
Nara Institute of Science and Technology, Japan

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=003;article=027

Ingår i: RobocCup-99 Team Descriptions. Small and Middle Leagues

Linköping Electronic Conference Proceedings 3:27, s. 170-174

Linköping Electronic Articles in Computer and Information Science 6:27, s. 170-174

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Publicerad: 1999-12-05

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

To make a robot team perform a soccer game; various technologies must be developed. To date; we constructed a multi-sensor based mobile robot for robotic soccer research. Based on this platform; we have implemented some behaviors for playing soccer and the vision system with on-line visual learning function. This year; we refine behaviors for playing soccer since we improve a motor control system. Furthermore; we put an omnidirectional camera in addition to an active vision system so as to enlarge view of our soccer robot. This paper presents the design methodology of our robots.

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Referenser

[1] H. Kitano; M. Tambe; Peter Stone; and et.al. \The RoboCup Synthetic Agent Challenge 97". In Proc. of The First International Workshop on RoboCup; pages 45-50; 1997.

[2] M. Asada; Y. Kuniyoshi; A. Drogoul; and et.al. \The RoboCup Physical Agent Challenge:Phase I(Draft)". In Proc. of The First International Workshop on RoboCup; pages 51-56; 1997.

[3] T. Nakamura; K. Terada; and et al. \Development of a Cheap On-board Vision Mobile Robot for Robotic Soccer Research". In Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems 1998 (IROS ’98); pages 431-436; 1998.

[4] T. Nakamura and T. Ogasawara. \On-Line Visual Learning Method for Color Image Segmentation and Object Tracking". In Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems 1999 (submitted); 1999.

[5] W. Richard Stevens. UNIX NETWORK PROGRAMMING. Prentice Hall; Inc.; 1990.

[6] Hema R.Madala and Alexy G. Ivakhnenko. Inductive Learning Algorithm for Complex System Modeling. CRC Press; 1993.

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