Abstract
AbstractIn response to the current problem that industrial robots are not intelligent enough to adapt to complex production environments, the introduction of the increasingly developed machine vision technology into the field of industrial robots provides favourable conditions for the development of intelligent manufacturing technology. The research results at this stage are reviewed for the three main steps of camera calibration, identification and matching of target work pieces, and optimization of the robot's grasping trajectory for the target work pieces in the industrial robot grasping system on the production line. The research results show that the vision grasping system is technically mature and can meet the real-time requirements in industrial applications, and the research and improvement of the algorithms of each part have certain reference value for the development of industry and related research.KeywordsPart sortingMachine vision
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