摘要
本文从视觉与控制集成观点出发,提出了一种机械人手眼协调的新方法,利用手部摄像机于期望抓取(操作)位置获取待抓(加工)物体图象,以此作为期望国象,而后可以对任意位置的同类物体进行实时抓取,首先将期望日象与实时采样图象进行比较生成差图象,从而依据差图象进行实时同服反馈,最终达到消除图象差的目的。
This paper analyzes robot hand-eye coordination from the view point of integration of vision and control. The new scheme of image direct feedback control is proposed. The manipulating process is as follows: first of all, move the arm to the desired manipulating position and orientation with respect to the ob-ject of interest and sample the image of the object by eye-in-hand camera. This is referred to desired image.In the manipulating process, the scheme, which compares the real time sampled. Image with the desired one,forms the error image. With this 2-D error image, The control action steers the gripper to move until the im-age error is eliminated.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1997年第5期648-653,共6页
Control Theory & Applications
基金
国家自然科学基金
关键词
手眼协调
图象直接反馈法
机器人
robot vision
servo
hand-eye coordination
feedback