Abstract
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.
Original language | English |
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Title of host publication | 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 9781479978625 |
DOIs | |
Publication status | Published - Sept 8 2015 |
Event | 10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia Duration: May 31 2015 → Jun 3 2015 |
Other
Other | 10th Asian Control Conference, ASCC 2015 |
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Country/Territory | Malaysia |
City | Kota Kinabalu |
Period | 5/31/15 → 6/3/15 |
ASJC Scopus subject areas
- Control and Systems Engineering