Real-Time Path Planning Strategy for Robots Based on Local Dynamic Environment Perception

In order to solve the challenges of real-time path planning strategies for robots, in view of the shortcomings of the existing RRT algorithms, an innovative real-time path planning strategy method based on local dynamic environment perception is introduced. This new approach uses the principles of computer vision theory to accurately identify and locate key influencing factors, and accordingly performs a sensible classification of indicators to reduce potential interference. At the same time, by using the unique mechanism of local dynamic environment perception, the design strategy of path planning is cleverly constructed. The empirical results show that the proposed scheme shows significant improvement compared with the traditional RRT algorithm in key performance indicators such as the accuracy of the real-time path planning strategy and the processing efficiency of key factors, showing its obvious strong advantages. In robots, the real-time path planning strategy plays a crucial role, which can accurately predict and optimize the growth trend and output results of the robot's real-time path planning strategy. However, in the face of complex simulation tasks, traditional RRT algorithms show some inherent shortcomings, especially when dealing with multi-level challenges, their performance is often unsatisfactory. To overcome this problem, this study introduces a new idea of real-time path planning strategy based on local dynamic environment perception optimization, and accurately controls the influencing parameters through computer vision theory, and uses this as the road map for index allocation, and then uses local dynamic environment perception to construct a system scheme. The test results clearly point out that in the context of the evaluation criteria, the new scheme has been significantly optimized in terms of accuracy and processing speed for a variety of challenges, showing stronger performance superiority. Therefore, in the real-time path planning strategy of the robot, the simulation scheme based on local dynamic environment perception successfully overcomes the shortcomings of the traditional RRT algorithm and significantly improves the accuracy and operation efficiency of the simulation.