Application Of Vision Guiding Technique In Intelligent Grasp Of Industrial Robot

At present, the industrial robots which are used in production generally utilize teaching or off-line programming mode, and can only replay the pre-taught motions. Hence, they have low perception ability in handing objects and work environments. In recent years, computer vision featuring processing a large amount of information, high accuracy of detection, and a wide range detection, has been applied in many fields, and provides a new way of extending industrial robot intelligence.To recognize and accurately grasp objects on the scene is one of the fundamentals for application of industrial robots. As the entry point of this problem and based on computer vision theory and technology, this paper studied technique of vision guided industrial robot oriented intelligent grasp, proposes a method based on computer vision guiding, and explored the solution to the key problems such as target object recognition and pose estimation. This paper aims at incorporating computer vision into industrial robot applications, and improving the level of industrial robot perception and intelligence.