Maze Robot Design And Energy Efficiency Optimization Based On Dynamic Target Point

With the rapid development of technologies such as artificial intelligence and control theory,the role of robots in military,agricultural,service and other fields has become increasingly prominent.Moreover,a large part of robots often perform tasks for a long time and without interruption.Affected by this,realizing the optimization of energy efficiency of robots is also an important goal pursued in practical scenarios.At the same time,as a kind of mobile robot,the technical field of labyrinth robot involves control theory,path planning,sensor application and so on.Therefore,this paper conducts research on the design and energy efficiency optimization of labyrinth robots based on dynamic target points.The contents are as follows:1.Research on the working principle and motion control of the dynamic target labyrinth robot.The coordinate system of the maze map is established,the coordinate updating criterion of the labyrinth robot,the characteristics and storage method of the maze wall data information,and the establishment of the contour map are studied,and then the design of the motion control scheme of the maze robot is completed.2.Research on search algorithm of dynamic target labyrinth robot.According to the randomness and uncertainty of the target position of the labyrinth robot,a search algorithm that can search to the random end point is designed.Furthermore,a coordinate transformation rule is designed for different starting positions of the maze,so that the robot can still complete the search task at different starting positions.3.Research on infrared ranging method of dynamic target labyrinth robot.The function of the infrared sensor is analyzed,and the analog infrared is used to overcome the problem that the digital infrared can only measure the presence of obstacles.Logarithmic fitting and second-order logarithmic fitting are used for ranging methods,and then linear interpolation is used to approximate the relationship between the collected voltage value and distance,thereby reducing the computational burden of the controller.4.Research on energy efficiency optimization of dynamic target Labyrinth robot.In order to cope with the problem of increased energy consumption caused by complex mazes,the research on energy efficiency optimization of maze robots is carried out.For optimization,two measures are proposed: one is the fusion algorithm based on the dynamic target search algorithm and the Manhattan distance algorithm,and the other is the arc turning method.5.Realization and experimental research of dynamic target Labyrinth robot system.The hardware design and software design of the Labyrinth robot are completed,and the real object is designed based on this,and then the search task test,mean filtering,infrared ranging,and energy efficiency optimization measures are tested by using the completed physical system.The designed labyrinth robot can complete the task well and the two proposed measures can effectively reduce the energy consumption,thus realizing the optimization of energy efficiency.