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11 July 2016 Automated packaging employing real-time vision
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 1001116 (2016)
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
Existing packaging systems rely on human operation to position a box in the packaging device perform do the packaging task. Current facilities are not capable of handling boxes with different sizes in a flexible way. In order to improve the above-mentioned problems, an eye-to-hand visual servo automated packaging approach is proposed in this paper. The system employs two cameras to observe the box and the gripper mounted on the robotic manipulator to precisely control the manipulator to complete the packaging task. The system first employs two-camera vision to determine the box pose. With appropriate task encoding, a closed-loop visual servoing controller is designed to drive a manipulator to accomplish packaging tasks. The proposed approach can be used to complete automated packaging tasks in the case of uncertain location and size of the box. The system has been successfully validated by experimenting with an industrial robotic manipulator for postal box packaging.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wen-Chung Chang and Chia-Hung Wu "Automated packaging employing real-time vision", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 1001116 (11 July 2016);


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