首页|Recent Studies from University of Science and Technology Beijing Add New Data to Robotics and Automation (Seg-net: Deep Learning Grasping With a Soft Enveloping Gripper)
Recent Studies from University of Science and Technology Beijing Add New Data to Robotics and Automation (Seg-net: Deep Learning Grasping With a Soft Enveloping Gripper)
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Research findings on Robotics -Roboti cs and Automation are discussed in a new report. According to news reporting ori ginating from Beijing, People's Republic of China, by NewsRx correspondents, res earch stated, "The emergence of non-fingered soft bioinspired grippers poses a c hallenge for learning-based grasping control due to the lack of a model describi ng grasping robustness and a dataset for training. In this letter, we propose a comprehensive pipeline encompassing grasping evaluation, dataset generation, dee p neural network construction and training, as well as experimental verification for a soft enveloping gripper to investigate its learning-based grasping method s." Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC), Beiji ng Natural Science Foundation, National Natural Science Foundation of China Regi onal Innovation and Development Joint Fund (Anhui).
BeijingPeople's Republic of ChinaAsiaRobotics and AutomationRoboticsUniversity of Science and Technology Beiji ng
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