Soccer Robot Path Planning Based on Evolutionary Artificial Field

Zai Xin Liu; Long Xiang Yang; Jin Ge Wang

doi:10.4028/www.scientific.net/AMR.562-564.955

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Multi-Robots Path Planning Based on Improved Artificial Potential Field Method
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Simulation on Obstacle Avoidance Method for Multi-Robots in Movement Control Process
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Soccer Robot Path Planning Based on Evolutionary...

Soccer Robot Path Planning Based on Evolutionary Artificial Field

Abstract:

To improve the success rate of Soccer Robot Path Planning, artificial potential field is amended, autonomous potential field is presented to solve the path planning problem by analyzing shortcomings of the basic shooting algorithm, the autonomous potential field function centering on the soccer robot is constructed, and the robot’s movement in the new potential field is analyzed, the modified artificial potential field model and autonomous potential field model is contrasted, each vicinal potential energy of the modified artificial potential field model and autonomous potential field model is analyzed. The simulated results demonstrate that this method can optimize the path of a soccer robot, decrease the complexity, enhance the real time capability, perform the shooting action better, and improve the success rate of a soccer robot shooting a goal.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

955-958

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.955

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Online since:

August 2012

Authors:

Zai Xin Liu, Long Xiang Yang, Jin Ge Wang

Keywords:

Autonomous Potential Field, Path Planning, Soccer Robot

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References

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