Pose Estimation of 3D Object based on Laser Scanner

Recent research and development in industrial robotics aims at improving, flexibility, intelligence, and robustness of industrial robot application. There are various challenges associated with the development of a Random Bin Picking technology, including fast and accurate 3D imaging, a robust algorithm for object recognition, path-panning, gripper design. In this paper, a vision-guided-robotics (VGR) grasping system is proposed to pick and place metal water parts. The industrial robot can quickly scan and pick the metal parts by the proposed VGR grasping system. Experimental results show that the proposed system is effective and efficient to improve accuracy, flexibility and intelligence in VGR application.