Behavior Selection Method of Robots Based on a Markovian Emotional Model
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- Watada Shogo
- Graduate School of Science Engineering, Yamaguchi University
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- Obayashi Masanao
- Graduate School of Science Engineering, Yamaguchi University
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- Kuremoto Takashi
- Graduate School of Science Engineering, Yamaguchi University
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- Kobayashi Kunikazu
- School of Information Science and Technology, Aichi Prefectural University
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- Mabu Shingo
- Graduate School of Science Engineering, Yamaguchi University
Bibliographic Information
- Other Title
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- マルコフ情動モデルを備えたロボットの行動決定法
- マルコフ ジョウドウ モデル オ ソナエタ ロボット ノ コウドウ ケッテイホウ
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Abstract
In this paper, we propose a new decision making system of autonomous mobile robots based on a Markovian emotional model. In the proposed method, it is possible to build a method of determining behavior along the task by optimizing system parameters automatically. In addition, we propose a method for self-organization of a nonlinear transformation that makes it possible to convert input stimuli to internal parameters properly using a neural network. The effectiveness of the proposed method is verified through simulations of identifying unknown environments by evaluating the exploration time under five different test environments. These results showed that the automatic construction of the decision making system was performed, and valid action decisions were made effectively.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 134 (1), 85-93, 2014
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679583522048
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- NII Article ID
- 130003382817
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 025164884
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed