首页|Studies from China Agricultural University Yield New Data on Robotics (Detection Method for the Cucumber Robotic Grasping Pose In Clutter Scenarios Via Instance Segmentation)
Studies from China Agricultural University Yield New Data on Robotics (Detection Method for the Cucumber Robotic Grasping Pose In Clutter Scenarios Via Instance Segmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "The application of robotic gr asping for agricultural products pushes automation in agriculture-related indust ries. Cucumber, a common vegetable in greenhouses and supermarkets, often needs to be grasped from a cluttered scene." Financial support for this research came from Beijing Innovation Consortium of A griculture Research System. Our news journalists obtained a quote from the research from China Agricultural University, "In order to realize efficient grasping in cluttered scenes, a fully automatic cucumber recognition, grasping, and palletizing robot system was cons tructed in this paper. The system adopted Yolact++ deep learning network to segm ent cucumber instances. An early fusion method of F-RGBD was proposed, which inc reases the algorithm's discriminative ability for these appearance-similar cucum bers at different depths, and at different occlusion degrees. The results of the comparative experiment of the F-RGBD dataset and the common RGB dataset on Yola ct++ prove the positive effect of the F-RGBD fusion method. Its segmentation mas ks have higher quality, are more continuous, and are less false positive for pri oritizinggrasping prediction. Based on the segmentation result, a 4D grab line prediction method was proposed for cucumber grasping. And the cucumber detection experiment in cluttered scenarios is carried out in the real world."
BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRoboticsRobotsChina Agricultural University
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