| Title: | OS4-3 Parameter Estimation of a Skill Evaluation Model |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 433-436 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS4-3 |
| Author(s): | Kazuo Kawada, Toru Yamamoto |
| Publication Date: | January 19, 2017 |
| Keywords: | Skill evaluation model, Teacher-student model, Learning process, First-order system, Real-coded genetic algorithm, Parameter estimation |
| Abstract: | In this study, the aim is to construct a "teacher-student model" for optimal skill acquisition. To support the optimal skill acquisition, modeling and estimation of an individual learning process are very important. The first-order system with time delay is introduced as an individual learning process model based the control engineering approach. These system parameters included in the skill evaluation model are estimated by using a real-coded genetic algorithm. In order to evaluate the effectiveness of the proposed scheme, it is employed for the parts classification task. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS4/OS4-3.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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