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 |
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ホスト出版物のタイトル | 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(印刷版) | 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 2015 → 6月 3 2015 |
Other
Other | 10th Asian Control Conference, ASCC 2015 |
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国/地域 | Malaysia |
City | Kota Kinabalu |
Period | 5/31/15 → 6/3/15 |
ASJC Scopus subject areas
- 制御およびシステム工学