Two-agent Collaborative Shooting Method Using BP Neural Network
A two-agent collaborative shooting method based on BP neural network was proposed to improve the shooting success rate. In this method, the two players, an assistant player and a shooter, perform a shooting behavior coliaboratively using the position relationships among the assistant player, the shooter and the goal. The three shooting parameters, the assistants passing speed and passing angle and the shooters spinning rate, are predicted using a BP neural network model, and the relative distances and angles between the assistant passer and the shooter at the beginning of shooting and those between the shooter and the mid-point of goal are used as the input of this BP model. The experiments of simulation match were conducted on the Robot Soccer v1.5a platform. Experimental results show that the collaborative shooting method using BP network has a higher shooting efficiency.
robot soccer two-agent collaborative shooting BP neural network
Guoyu Zuo Shanshan Zhang Guochcng Zhong Rongyi Sun
School of Flectronic Information and Control Engineering,Beijing University of Technology,Beijing 100124, China
国际会议
厦门
英文
615-618
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）