Decision-making for 5x5 Very Small Size Soccer Teams

2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE)(2020)

引用 1|浏览0
暂无评分
摘要
Due to the high dynamism of IEEE Very Small Size Soccer (VSSS) matches, the main differences between the teams are focused on their decision-making system, path planning methods, and control and positioning algorithms. A path planning algorithm that fits well in the context of IEEE VSSS differential robots is the univector field navigation. For the positioning of the robots the combination of Delaunay Triangulation and Gouraud Shading proves to be quite efficient. Regarding decision-making, behavior trees are a good approach, due to their modularity and easiness in changing player's actions. In addition, a system for changing player's roles is also important, in order to make a dynamic match possible. The techniques shown here are not novel in the context of robot soccer. In fact, this paper contribution lies in integrating them in a full working strategy for 5×5 VSSS, which ended up winning Latin American Robotics Competition (LARC) 2019.
更多
查看译文
关键词
5×5 Very Small Size Soccer teams,high dynamism,IEEE Very Small Size Soccer,decision-making system,path planning methods,IEEE VSSS differential robots,univector field navigation,Delaunay Triangulation,Gouraud Shading,player,dynamic match possible,robot soccer,5×5 VSSS,winning Latin American Robotics Competition 2019
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要