Optimization of robot path planning based on improved BP algorithm
<p>Biao Chen<sup>1</sup>, Shan Hu<sup>1,2</sup>, Tianzhi Zhang<sup>1</sup></p> · Academic Journal of Computing & Information Science · 2024
Path planning is one of the key problems of welding robots. In the face of increasing accuracy and efficiency requirements in the manufacturing industry, the importance of robot path planning has also increased. For welding robots, short welding time and stable welding process are generally required. In this paper, genetic algorithm is used to optimize BP neural network algorithm, so as to obtain better weights and thresholds, so as to obtain better solutions in path planning. After simulation and verification in MATLAB, the results show that, the optimized BP neural network algorithm effectively improves the efficiency of the algorithm and optimizes the ability of finding the global optimal path.