Path Planning of Cleaning Robot

Location and complete coverage are the most fundamental problems in path planning of cleaning robots.The relative location of the robot in the environment is studied,and kalman filter is usedto filter processing to reduce errors.Path planning algorithm based on biologically inspires neural network,and simulation shows the problem of high repetition rate when there are many obstacles.Algorithm has been improved,biologically inspired neural network path planning algorithm based on the template is proposed here.Through simulation experiment,it is found that the algorithm is feasible and effective to reduce the repetition rate.