Grab control method of food sorting robot based on 3D model
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(1. Hunan College of Information, Changsha, Hunan 410012, China; 2. Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014000, China)

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    Abstract:

    Objective: To solve the problems of poor accuracy and low sorting efficiency of the existing string fruits in robot sorting. Methods: Based on the structure of the high-speed parallel food sorting system, the improved SURF algorithm and the improved RANSAC algorithm were combined to locate the grab points of the food sorting robot, and a three-dimensional grab model was established to realize the automatic and stable grab of string fruits. Taking grapes as an example, the superiority and accuracy of the proposed method were verified by experiments. Results: Compared with the conventional method, the proposed method improved the average capture success rate by about 15.00% and the average capture time by 0.101 s. Conclusion: The food sorting robot can effectively improve the accuracy of the positioning of the holding points of string fruits, and has a high success rate.

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肖瑶星,刘立新,胡 柳,等.基于三维模型的食品分拣机器人抓取控制方法[J].食品与机械英文版,2023,39(4):77-82,162.

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  • Received:November 25,2022
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  • Online: June 05,2023
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