Back propagation neural network to the application of cleaning robot's path planning

To address the problem of planning complete coverage paths for cleaning robots that have the greatest coverage rates and the lowest recover rates,we propose a back propagation(BP) neural network algorithm for local path planning based on plowing global path planning.We also propose an improved BP neural network algorithm based on the deep-first coverage algorithm for the issue of cleaning dead areas.Simulation results show that the proposed algorithm can plan complete paths for the robots.