Robots moving in formation by using neural network and radial basis functions

Kaoru Hirota*, Tsuyoshi Kuwabara, Kenichi Ishida, Akihiko Miyanohara, Hiroaki Ohdachi, Toshihiro Ohsawa, Wataru Takeuchi, Naoyoshi Yubazaki, Masayuki Ohtani

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

Vision-based moving in formation by 4 mobile robots is presented. One robot who is a leader and goes first provides moving plans to the other robots who follow the leading robot. These robots perform to move in not only single line, but also triangular or diamond formation. Each robot detects the other robots by means of color image classification using three-layer neural network. In motion control, Radial Basis Function (RBF) network approximated by learning is used. In addition, hardware implementations and the results of demonstration how multiple mobile robots move in several formations are described.

Original languageEnglish
Pages91-94
Number of pages4
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
Duration: 20 Mar 199524 Mar 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
CityYokohama, Jpn
Period20/03/9524/03/95

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Hirota, K., Kuwabara, T., Ishida, K., Miyanohara, A., Ohdachi, H., Ohsawa, T., Takeuchi, W., Yubazaki, N., & Ohtani, M. (1995). Robots moving in formation by using neural network and radial basis functions. 91-94. Paper presented at Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5), Yokohama, Jpn.