Predictive Artificial Potential Field Method and its Application on Robot Soccer Path Planning

Peng Huang; Chang Yun Miao; Li Jin Guo; Ying Li

doi:10.4028/www.scientific.net/AMM.48-49.840

Paper Titles

System Design for Information Monitoring at Drug Sales End
p.817

Petri Net with Uncontrollable Transition and GA Based Approach for JSP
p.824

Photocatalytic Activity of TiO₂ Loaded on HZSM-5 Zeolite Treated with Phosphoric Acid
p.830

Precise Control of Thrust Force on the Shield Tunneling Machine
p.834

Predictive Artificial Potential Field Method and its Application on Robot Soccer Path Planning
p.840

Preparation and Characterization of Steel Slag Adsorbent
p.844

Preparation of Silicon Reinforced Poplar Wood Composites and their Thermal Properties
p.848

Process Estimated Temperature Model of Molten Steel in LF Based on BP Neural Network Combined with Expert System
p.853

Quantitative Analysis for Near-Field Characteristics of Converter Circuits
p.858

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 48-49Predictive Artificial Potential Field Method and...

Predictive Artificial Potential Field Method and its Application on Robot Soccer Path Planning

Abstract:

This paper presents a new predictive artificial potential field approach for robot soccer path planning under complex and uncertain environment. By predicting and analyzing the future position and attitude of concerned object, the position and attitude of the object is controlled by demonstration algorithm. The proposed method is successfully used in the robor soccer shooting and is realized on the MiroSot 3vs3 simulating platform. Experiment results show that this algorithm has good real-time ability and adaptability to environment.

You might also be interested in these eBooks

Measuring Technology and Mechatronics Automation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 48-49)

Pages:

840-843

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.48-49.840

Citation:

Cite this paper

Online since:

February 2011

Authors:

Peng Huang, Chang Yun Miao, Li Jin Guo, Ying Li

Keywords:

Artificial Potential Field (APF), Path Planning, Predictive Control, Robot Soccer

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Biliang Zhong, Qi Zhang, Yimin Yang. Anti-collision path planning for soccer robot using modified potential field method. Control Theory&Applications, vol. 20. pp.623-626. (2003).

Google Scholar

[2] Yugeng XI, Chungang Zhang. Rolling path planning of robots in a kind of dynamic uncertain environment, ACTA AUTOMATICA SINICA Vol. 25, pp.161-175, (2002).

Google Scholar

[3] Changhong Fan, Weidong Chen. A Neural Networks-based Approach to Safe Path Planning of Mobile Robot in Unknown Environment. Acta Automatica Sinica, Vol. 30, pp: 816-823, (2004).

Google Scholar

[4] Xiaoping Fan, Shuangyan Li. Dynamic Obstacle-avoiding Path Planning for Robots Based on a New Artificial Potential Field Function. Control theory & applications, Vol. 22, pp: 703-707, (2005).

Google Scholar

[5] Xuepiao Liu, Xiaoan Li. Dynamic Path Planning for Soccer Robot[J], Computer Measurement & Control, Vol. 14, pp.1103-1105, (2006).

Google Scholar