Image-based neural network controllers for mobile robots to track a human

Masaaki Ikeda, Hikaru Fujioka, Keigo Watanabe, Shoichi Maeyama, Isaku Nagai

研究成果

抄録

This paper proposes an image-based visual servoing method for human tracking by a mobile robot. Three neural networks that determine control inputs from image features are designed as controllers, where they are learned by using the genetic algorithm. We examine the network structure that is suitable as a controller for the present objective by using simulations.

本文言語English
ホスト出版物のタイトル2015 10th Asian Control Conference
ホスト出版物のサブタイトルEmerging Control Techniques for a Sustainable World, ASCC 2015
編集者Hazlina Selamat, Hafiz Rashidi Haruna Ramli, Ahmad Athif Mohd Faudzi, Ribhan Zafira Abdul Rahman, Asnor Juraiza Ishak, Azura Che Soh, Siti Anom Ahmad
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781479978625
DOI
出版ステータスPublished - 9月 8 2015
イベント10th Asian Control Conference, ASCC 2015 - Kota Kinabalu
継続期間: 5月 31 20156月 3 2015

出版物シリーズ

名前2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

Other

Other10th Asian Control Conference, ASCC 2015
国/地域Malaysia
CityKota Kinabalu
Period5/31/156/3/15

ASJC Scopus subject areas

  • 制御およびシステム工学

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