Ikeda, Masaaki and Fujioka, H and Watanabe, K and Maeyama, S and Nagai, I (2015) Image-based neural network controllers for mobile robots to track a human. In: 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015, 31 May - 3 June 2015, Sutera Harbour ResortKota Kinabalu; Malaysia.
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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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Innovative Design & Technology |
| Depositing User: | Muhammad Akmal Azhar |
| Date Deposited: | 25 Oct 2020 04:06 |
| Last Modified: | 25 Oct 2020 04:06 |
| URI: | http://eprints.unisza.edu.my/id/eprint/553 |
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