At present, most of domestic robotic arms are controlled by computer, industrial robotic arms are directly in accordance with the planning line to carry out the prescribed actions, lack of external perception of sudden situations, it is difficult to deal with sudden situations. The emergence of machine vision provides a good solution to this problem. This design combines machine vision and mechanical arm organically. After collecting the environment information through the camera, the system analyzes the optimal route of each joint and controls each joint to operate according to the optimal route. Through machine visual algorithm and automatic control technology of manipulator, the operation of object detection, location and grasping in plane is realized.
CITATION STYLE
Zhang, Y., Wang, X., Gao, L., & Liu, Z. (2020). Manipulator Control System Based on Machine Vision. In Advances in Intelligent Systems and Computing (Vol. 1017, pp. 906–916). Springer Verlag. https://doi.org/10.1007/978-3-030-25128-4_111
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