2001 Fiscal Year Final Research Report Summary
Development and research of chaotic mobile robot based on evolution system with GP
| Project/Area Number |
11680406
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | ATOMI UNIVERSITY |
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Principal Investigator |
MATUMURA Koki ATOMI UNIVERSITRY Faculty of Literature, 文学部, 教授 (60239077)
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| Project Period (FY) |
1999 – 2001
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| Keywords | Coupled Chaotic System / Genetic Programming / Fuzzy Control / Mobile Robot / Membership Function / Obstacles Avoidance |
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| Research Abstract |
In this study a new obstacle avoidance model based on fuzzy control is discussed. The membership function is a very importantfactor to raise the accuracy of fuzzy control. So, it proposes the method to create the membership function and make it more proper for the control. It can be created and tuned up in a systematic and autonomous way by applying evolution system of *netic programming(GP) that used the coupled chaotic system. The utility of method was examined by the computer *nulation and the real machine running experiment. The following were obtained. (1) The membership function can be created autonomously by easy learning for obstacle avoidance. (2) A series of functions needed can be generated contemporaneously to be applied to more complicated obstacle avoidance model. (3) It is possible to apply to the mounting robot.
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Research Products
(12 results)
