Research On The Path Planning Control Strategy Of Book Transporting Robot

E-commerce brings great social benefits to the society,brings convenience to the masses of the people,but also puts forward higher requirements for the management and technical level of the merchants engaged in e-commerce.Especially the warehouse picking system of large retail e-commerce,the use of intelligent robot technology has become a trend.Based on the project of the tutor,this paper studies the path planning control strategy of the mobile robot.The main research contents are as follows:Firstly,the global path planning strategy and local path planning strategy of mobile robots are introduced in detail,and several corresponding planning algorithms are outlined for each planning strategy.Second,the search strategy based on state space of a global path planning strategy,namely the establishment of environment model based on grid method,barrier free global path planning and then use the classical A* algorithm of mobile robot in known environment.Third,the path turning A* algorithm for planning,planning defects of slow speed,this paper proposes an improved ant colony algorithm based on ant colony algorithm,PSO algorithm is introduced to the important parameters of ant colony algorithm to optimize the experience changed the value of the practice,through the simulation of MATLAB completed the local path planning for mobile robot.Fourth,both the prior global path planning strategy and the local path planning strategy are a lack of learning strategies.Therefore,a hybrid control strategy based on neural network algorithm is proposed.