Abstract
In walking of quadruped robots, a better performance is obtained by changing the order of swing leg at a gait. In this paper, we study a walking with obstacles avoidance of a quadruped robot using neural network (NN) for determining the moving distance of the robot and for determining the order of a swing leg. The training data is considered with initial positions of each leg. The effectiveness of the present method is demonstrated with some experiments using TITAN-VIII.
| Original language | English |
|---|---|
| Title of host publication | 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
| Pages | 3400-3405 |
| Number of pages | 6 |
| Publication status | Published - Dec 1 2004 |
| Externally published | Yes |
| Event | 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Sendai, Japan Duration: Sep 28 2004 → Oct 2 2004 |
Publication series
| Name | 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
|---|---|
| Volume | 4 |
Other
| Other | 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
|---|---|
| Country | Japan |
| City | Sendai |
| Period | 9/28/04 → 10/2/04 |
ASJC Scopus subject areas
- Engineering(all)
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Cite this
Izumi, K., Yamaguchi, T., & Watanabe, K. (2004). Free-gait of quadruped robots using neural networks for determining the order of swing leg. In 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3400-3405). (2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); Vol. 4).