基于视觉与超声技术机器人自动识别抓取系统

Automatic Recognition and Grasp for Robot Manipulators Based on Vision and Ultrasonic

提出了满足机器人装配作业中对工件进行可靠识别与抓取的信号处理技术及检测方法 ,对能准确描述物体形状的特征提取方法进行了研究 ,设计了一种基于视觉与超声技术的机器人自动识别与抓取系统的结构 ,并在机器人装配作业平台上进行了物体识别与抓取的实验研究 .

An effective method of information processing and measurement for robotic assembly is presented. The feature extraction describes the object shape exactly as well as a configuration of the system based on vision and ultrasonic for robotic recognition and grasp. The experiments of recognition and grasp on the platform of robotic assembly are given.