基于蚁群算法机器人路径规划优化研究

Robot path planning optimization based on ant colony algorithm

工业机器人的广泛应用使工业机器人技术研究成为当今社会热门的课题之一,其中机器人的路径规划优化是机器人学的一个重要研究领域。结合蚁群算法的特点,分析了蚁群算法的基本原理和建模方法,提出了一种改进的蚁群算法。通过仿真试验表明,改进的蚁群算法在工业机器人路径规划方面的应用有效。

The wide application of industrial robots also makes the research of industrial robot technology become one of the hot topics in today's society,among which the path planning optimization of robots is an important research field of robotics.Based on the characteristics of ant colony algorithm,the basic principle and modeling method of ant colony algorithm are analyzed,and an improved ant colony algorithm is proposed.Through simulation experiments,the effectiveness of the improved ant colony algorithm in industrial robot path planning is demonstrated.