Industry and artificial intelligence: industrial robot localization based on improved monte carlo algorithm

Industrial robot positioning technology is a key component of industrial automation and intelligent manufacturing. Accurate positioning can effectively promote industrial development. Existing positioning technologies such as Monte Carlo positioning methods still suffer from inaccurate positioning in complex environments. Therefore, a localization method for industrial robots based on an improved Monte Carlo algorithm was proposed. Meanwhile, this method was optimized by combining scanning matching technology. Finally, simulation experiments were conducted to verify it. These experiments confirmed that the average positioning error of the proposed improved Monte Carlo algorithm in a simple environment was 1.55 cm. In complex environments such as obstacle edges and narrow corridors, the optimization method combining scanning matching further reduced the average positioning error to 0.35 cm, demonstrating superior positioning performance. In addition, the optimization method combining scanning matching maintained a positioning accuracy of over 95.00% in complex environments, far higher than traditional positioning methods. Moreover, it maintained low error and high positioning accuracy when facing various motion paths. Its error still did not exceed 1.00 cm, and the attitude angle error was less than 0.005 rad. In summary, compared with the existing methods, the positioning accuracy and accuracy of the proposed industrial robot positioning method are significantly improved, showing the positioning effect that is highly compatible with the target path. By providing more precise robot positioning, the robot's motion path and task execution can be optimized, reducing errors and collisions, thereby increasing productivity. Therefore, the precise robot positioning technology proposed in this study has important strategic significance for promoting the modernization of manufacturing industry, promoting scientific and technological progress and realizing sustainable development.