首页|Findings from Wuhan Textile University Provides New Data about Robotics (Shakingbot: Dynamic Manipulation for Bagging)
Findings from Wuhan Textile University Provides New Data about Robotics (Shakingbot: Dynamic Manipulation for Bagging)
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Investigators publish new report on Robotics. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Bag manipulation through robots is complex and challenging due to the deformability of the bag. Based on the dynamic manipulation strategy, we propose a new framework, ShakingBot, for the bagging tasks.” Financial supporters for this research include Project, Research on Video Tracking Based on Manifold Statistical Analysis, Key Project of the Science and Technology Research Program of the Hubei Provincial Department of Education. Our news journalists obtained a quote from the research from Wuhan Textile University, “ShakingBot utilizes a perception module to identify the key region of the plastic bag from arbitrary initial configurations. According to the segmentation, ShakingBot iteratively executes a novel set of actions, including Bag Adjustment, Dual-arm Shaking, and One-arm Holding, to open the bag. The dynamic action, Dual-arm Shaking, can effectively open the bag without the need to take into account the crumpled configuration. Then, the robot inserts the items and lifts the bag for transport. We perform our method on a dualarm robot and achieve a success rate of 21/33 for inserting at least one item across various initial bag configurations. In this work, we demonstrate the performance of dynamic shaking action compared to the quasi-static manipulation in the bagging task.”
WuhanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsWuhan Textile University
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