A self-learning algorithm with one computing parameter for path planning
The existing robot path planning(RPP) algorithms have the problems that the parameters are complexity. To solve this problem, this paper proposes a self-learning ACO(SlACO) algorithm for robot path planning. In SlACO, an improved grid map(IGM) method is used for modeling the working space and the 8-...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2019-04-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000100590 |