DocumentCode :
1598791
Title :
Foraging Ant Motion Planning for Articulated Robots
Author :
Mohamad, Mohd Murtadha ; Dunnigan, Matthew ; Taylor, Nicholas
Author_Institution :
Dept. of Electr., Electron. & Comput. Eng., Heriot-Watt Univ., Edinburgh
fYear :
2006
Firstpage :
4285
Lastpage :
4290
Abstract :
This paper describes a new and simple motion planning method to find a path between start and goal configurations for an articulated robot using the foraging ant strategy, F-Ant. Observation by an ant looking from its current position to the target location will help to reduce the steps taken to get to the goal. While most of the previously developed algorithms such as the SBL-PRM planner depends on the size of the previously generated sampled set of configurations, the foraging ant motion planner samples new configurations in the neighbourhood of the last point. This will only generate the necessary configurations for building the path. The new planner has been tested and it managed to reduce the number of configurations generated to build a successful path
Keywords :
artificial life; mobile robots; optimisation; path planning; F-Ant strategy; SBL-PRM planner; ant colony optimisation; articulated robots; foraging ant motion planning; Ant colony optimization; Bridges; Computer science; Insects; Motion planning; Orbital robotics; Path planning; Road accidents; Robots; Strategic planning; articulated robot; foraging ant; motion planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.314876
Filename :
4108266
Link To Document :
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