Abstract
Path planning in the global known environment is one of the main prob-lems in the field of mobile robots. Based on the characteristics of A* search method, this paper designs a simulation platform which is visible during the op-eration process to achieve graphicalization of the A* algorithm search process. The simulation platform is implemented by Matlab GUI method, which provides multi-parameter setting function, and outputs the specific traversal process of the planning method in the search space into the RGB space. The results of applying simulation platform to the teaching environment shows that this platform can provide an intuitive description of the path planning method. By extracting sam-ple data from the actual audience, the simulation platform proposed in this paper is compared with the platformless dissemination method. The experimental re-sults show that the simulation platform given in this paper can effectively im-prove the dissemination effect of the conventional multimedia teaching method.
Highlights
In the field of mobile robots, mobility is the primary indicator of robot autonomy
The path planning problem can be divided into two situations: static environment and dynamic environment according to the environmental model; it can be divided into two problems: global planning and local planning according to the scale of the environment
The goal of the simulation platform given in this paper is to provide an intuitive path planning process, and to provide preparation data for the analysis planning method through parameter changes at the same time
Summary
In the state space of the robot, “moving” refers to the process in which the robot updates from the current state to the target state [1] when the constraints such as distance, time, and collision-free are satisfied. The general teaching process tends be theoretical and analytical, the experimental content focuses on the realization of the method, and lacks of intuitively described teaching methods, which constraints the effect of dissemination Aiming at this problem, this paper implements a visual simulation teaching platform based on the search characteristics of A* algorithm, compares the influence of parameter changes on planning problems through GUI method, uses the weight diversity to describe the core idea of planning method in the RGB space, and turns the theory of planning methods into practice more intuitively. The rest pages of this paper are arranged as follows: Part 2 introduces relevant work background, including the basic principles of the A* method and the grid modelling method; Part 3 details the design and implementation of the simulation platform; Part 4 gives the experimental results of the simulation platform; Part 5 is the conclusion
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