Robot Motion Planning
The Ant Algorithm for Solving Robot Path Planning Problem
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Path Planning Using Wave Front's Improvement Methods
ICCTD '09 Proceedings of the 2009 International Conference on Computer Technology and Development - Volume 01
Robot Path Planning Using Wave Expansion Approach Virtual Target
ICCTD '09 Proceedings of the 2009 International Conference on Computer Technology and Development - Volume 01
Fusion of probabilistic A* algorithm and fuzzy inference system for robotic path planning
Artificial Intelligence Review
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Robot path planning is about finding a collision free motion from one position to another. The wave front expansion is commonly used for path planning tasks and appreciated for its efficiency. However, this approach requires full wave expansion, which takes considerable amount of time and process, in large scale environments. This paper presents a new method for motion planning of mobile robots based on wave expansion approach which avoids full wave expansion. This method imposes a cost function, that focuses on some of the waves for expansion instead of trying to expand the entire waves, as socalled focused wave front expansion algorithm. The proposed approach has been tested through computer simulation, with a set of environments with different levels of complexity depending on the density of the obstacles. Finally, we compare the results of our proposed method to that of the existing wave front method.