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11 September 2023 Robot automatic path-finding algorithm based on computer vision and neural network model
Libo Yang
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Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791K (2023) https://doi.org/10.1117/12.2689403
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
Motion control of mobile robot is the premise of completing all tasks, and trajectory tracking control, as an extremely important part of motion control, is the basis for robot to complete all tasks. For different fields, the problem background and application scenarios faced by robots are different, but in any application scenario, it is necessary to ensure that the mobile robot can track a given trajectory or target quickly and stably in the process of motion control, so as to realize real-time trajectory tracking control. The path-finding method introduced in this paper is to optimize the traditional Back Propagation Neural Network (BPNN) from the perspective of structure and weight setting under the environment model established by grid method, and then, according to the characteristics of high-speed parallel operation of neural network, an automatic path-finding algorithm based on logical judgment and memory is proposed, which can achieve ideal results by combining it with the improved BPNN. The simulation results show that the algorithm can effectively overcome the influence of uncertain factors such as model error and external disturbance, and its trajectory tracking effect is better than the traditional trajectory tracking control algorithm.
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Libo Yang "Robot automatic path-finding algorithm based on computer vision and neural network model", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791K (11 September 2023); https://doi.org/10.1117/12.2689403
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KEYWORDS
Mobile robots
Neurons
Detection and tracking algorithms
Education and training
Neural networks
Roads
Control systems
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