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	Path Planning Efficiency Maximization for Ball-Picking Robot Using Machine Learning Algorithm
	Yunchuan Liu; Shuang Li; Zeyang Xia
	2015
会议名称	2015 International Conference on Intelligent Transportation, Big Data&Smart City(ICITBS2015)
会议地点	Halong Bay,Vietnam
英文摘要	This paper aims to find a ball-picking optimal path and drives the robots to collect all the tennis in the shortest time, according to the optimal path. Thus, the work to be completed for us includes: establish agent model for robot working environment in tennis yard; analyze the advantage and shortcoming of ACO and provide an improved ACO. Our scheme improves the pheromone updating strategy. The global and local updates are integrated to strength the pheromone strength of optimal ant. Then we add the crossover and mutation operation of GA to speed the convergence of algorithm. By the simulation results analysis we find that the improved ACO has stronger optimizing ability and stability, which further improves the performance of ball-picking path.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/7224]
专题	深圳先进技术研究院_医工所
作者单位	2015
推荐引用方式 GB/T 7714	Yunchuan Liu,Shuang Li,Zeyang Xia. Path Planning Efficiency Maximization for Ball-Picking Robot Using Machine Learning Algorithm[C]. 见:2015 International Conference on Intelligent Transportation, Big Data&Smart City(ICITBS2015). Halong Bay,Vietnam.

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