自适应环境的机器人视觉伺服控制方法

Adaptive Robot visual servo control method

摘要:

机器人和机器视觉的迅速发展,使得基于视觉的智能机器人得到更加广泛的应用。机器视觉提高了机器人控制系统对环境的适应程度,但其适应程度也受到周围环境对机器视觉算法的影响。针对这一情况,本文对机器人视觉伺服控制系统中的机器视觉算法进行了改进,提出了一种基于帧间差分法的自适应环境的机器人视觉伺服控制方法,从而提高了控制系统对环境的自适应程度,提高了对机器人控制的精确度,实验和理论分析证明,该方法具有较大的应用前景和实用价值。

Abstract:

With the rapid development of robot and machine vision, the vision based intelligent robot has been widely used. Machine vision improves the adaptability of the robot control system to the environment, but the degree of adaptation is influenced by the surrounding environment to the machine vision algorithm. In view of this situation, this paper presents an improved robot visual servo control algorithm in machine vision system. This paper proposed an adaptive environment of inter frame difference method of robot visual servo control method based on improved adaptive degree of environmental control system, improving the control precision of the robot. The experimental and theoretical analysis that this method has great application prospect and practical value.