Design and Implementation of an Autonomous Robot Soccer System

Author:

Wong Ching-Chang1,Cheng Chi-Tai1,Chan Hsiang-Min1

Affiliation:

1. Department of Electrical Engineering, Tamkang University, New Taipei City, Taiwan

Abstract

Abstract A design and implementation method of a robot soccer system with three vision-based autonomous robots is proposed in this paper. A hierarchical architecture with four independent layers: (a) information layer, (b) strategy layer, (c) tactics layer, and (d) execution layer, is proposed to construct a flexible and robust vision-based autonomous robot soccer system efficiently. Five mechanisms, including (a) a two-dimensional neck mechanism, (b) dribbling mechanism, (c) shooting mechanism, (d) aiming mechanism, and (e) flexible movement mechanism, are proposed to mean the robot with multiple functions can win the game. A method based on data obtained from a compass and a vision sensor is proposed to determine the location of the robot on the field. In the strategy design, a hierarchical architecture of decision based on the finite-state transition mechanism for the field players and the goalkeeper is proposed to solve varied situations in the robot soccer game. Three vision-based robots are implemented and some real competition results in the FIRA Cup are presented to illustrate the validity and feasibility of the proposed method in autonomous robot soccer system design.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mortar DG Method with Staggered Hybridization for Rayleigh Waves Simulation;Communications in Computational Physics;2021-06

2. A New Approach for Mapping of Soccer Robot Agents Position to Real Filed Based on Multi-Core Fuzzy Clustering;2021 26th International Computer Conference, Computer Society of Iran (CSICC);2021-03-03

3. A multi-agent framework for cloud-based management of collaborative robots;International Journal of Advanced Robotic Systems;2018-07-01

4. State Machines Synchronization for Collaborative Behaviors Applied to Centralized Robot Soccer Teams;Advances in Artificial Intelligence - IBERAMIA 2018;2018

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