We propose an integrated path planning method for multiple automated guided vehicles performing logistics delivery within a real-world warehouse environment considering obstacles. By applying it on each vehicle, this proposed enables the vehicle have capabilities autonomous planning. The consists of three parts, K-means algorithm based task points clustering, genetic ordering, and probabilistic...