id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_4vomlmdu4rhxdouiiiukxac2fy	Rahul Kala	Multi-robot path planning using co-evolutionary genetic programming	2012	26	.pdf	application/pdf	14208	1211	70	Multi-Robot Path Planning using Co-Evolutionary Genetic Programming Multi-Robot Path Planning using Co-Evolutionary Genetic Kala (2012) Multi-Robot Path Planning using Co-Evolutionary Genetic Programming, Expert Abstract: Motion planning for multiple mobile robots must ensure the optimality of the path of each and Grammar based Genetic Programming for figuring the optimal path in a maze-like map, while a master robots' evolutionary algorithms ensures generation of overall optimal paths. Keywords: Path Planning, Motion Planning, Mobile Robotics, Genetic Programming, Grammatical In this paper we first present a co-evolutionary genetic programming based planning of multiple robots. These all try to generate and optimize the paths of the individual robots. The slave genetic programming operates at the level of individual robots for the generation of their paths, Figure 2: Conversion of a genetic programming genotype to robotic path phenotype. While the slave genetic programming does the task of generation of good paths for the individual robot, 	./cache/work_4vomlmdu4rhxdouiiiukxac2fy.pdf	./txt/work_4vomlmdu4rhxdouiiiukxac2fy.txt