蚁群优化算法
机器人
运动学
运动规划
工业机器人
弹道
计算机科学
控制工程
机器人运动学
机器人控制
自由度(物理和化学)
移动机器人
人工智能
工程类
经典力学
量子力学
物理
天文
标识
DOI:10.1109/auteee52864.2021.9668727
摘要
With the rapid development of intelligent manufacturing, the control technology of industrial robots has been upgraded gradually, and the traditional six-degree-of-freedom industrial robots' teaching and control method can no longer meet the needs of industrial production. In order to make the robot adapt to the complex and changing environmental space and complete the established work smoothly and efficiently, this paper establishes the robot kinematic model and organizes the parameters using MD-H modelling method for the kinematic analysis problem of six-degree-of-freedom industrial robots, and improves the ant colony algorithm for the motion path planning problem of six-degree-of-freedom industrial robots, which improves the industrial robot production efficiency
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