Abstract
In this paper, morphology of body and neural systems that define the locomotion of multi-linked locomotive robots that can adapt the changes in environment are designed using the evolutionary computation. The morphology of the body and neural systems have a close relationship to each other. The model of the robot is designed so that the morphology of the body and neural systems emerge simultaneously. The morphology of the body and neural systems are generated using a Genetic Programming. The tasks are that the robots move on grounds including different height of hills from generation to generation in the two dimensional lateral simulated world under the effect of the gravity. The robots are evaluated based both on a moving distance and an efficiency. As a result, various combinations between the morphology of the body and neural systems of the robots were emerged. The evolved robots were able to go over the hills which has not been experienced.
| Original language | English |
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| Pages | 2282-2287 |
| Number of pages | 6 |
| Publication status | Published - 2001 Dec 1 |
| Event | 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems - Maui, HI, United States Duration: 2001 Oct 29 → 2001 Nov 3 |
Other
| Other | 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems |
|---|---|
| Country/Territory | United States |
| City | Maui, HI |
| Period | 01/10/29 → 01/11/3 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications