Research on logistics autonomous mobile robot system

In recent years, Robots have become an important part of the rapid development of modern logistics system; the extent of its application has become an important measure factor to determine competition and the future development of inter-enterprise. The logistics autonomous mobile robot has a path planning, navigation, information fusion, autonomous decision-making and other human-like artificial intelligence, and it can improve the efficiency and level of intelligence of modern logistics. Due to the mobile robot working in the outdoor environment with uncertainty and complexity, its system inevitably has the uncertainty of the kinematic model, and is affected by the unknown external disturbance. In this case, it must ensure that the robot system can stabilize movement in outdoor environment and accurately reach the designated position. This is mainly related to the robot trajectory tracking problem. And the mobile robot to achieve high precision trajectory tracking control, the control method is the key. The main content of this paper is divided into two parts, one part is the introduction of the system structure of the logistics autonomous mobile robot; the other is a detailed analysis of the role of sliding mode control and neural network control in the robot system.