Abstract
In this paper, the path-planning problem is considered. We introduce a new potential function for path planning that has the remarkable feature that it is free from any local minima in the free space irrespective of the number of obstacles in the configuration space. The only global minimum is the goal configuration whose region of attraction extends over the whole free space. We also propose a new method for path optimization using an expanding sphere that can be used with any potential or penalty function. Simulations using a point mobile robot and smooth obstacles are presented to demonstrate the qualities of the new potential function. Finally, practical considerations are also discussed for nonpoint robots.
| Original language | English |
|---|---|
| Pages (from-to) | 265-282 |
| Number of pages | 18 |
| Journal | Journal of Intelligent and Robotic Systems: Theory and Applications |
| Volume | 17 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1996 |
Keywords
- Local minimum
- Path optimization
- Potential function
- Smooth objects
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
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