首页|Findings from University of Birmingham Yields New Data on Robotics and Automatio n (Task-informed Grasping of Partially Observed Objects)
Findings from University of Birmingham Yields New Data on Robotics and Automatio n (Task-informed Grasping of Partially Observed Objects)
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Data detailed on Robotics -Robotics a nd Automation have been presented. According to news reporting originating from Edgbaston, United Kingdom, by NewsRx correspondents, research stated, "In this l etter, we address the problem of task-informed grasping in scenarios where only incomplete or partial object information is available. Existing methods, which e ither focus on task-aware grasping or grasping under partiality, typically requi re extensive data and long training durations." Financial supporters for this research include Engineering & Physi cal Sciences Research Council (EPSRC), CHIST-ERA. Our news editors obtained a quote from the research from the University of Birmi ngham, "In contrast, we propose a one-shot task-informed methodology that enable s the transfer of grasps computed for a stored object model in the database to a nother object of the same category that is partially perceived. Our method lever ages the reconstructed shapes from Gaussian Process Implicit Surfaces (GPIS) and employs the Functional Maps (FM) framework to transfer task-specific grasping f unctions. By defining task functions on the objects' manifolds and incorporating an uncertainty metric from GPIS, our approach provides a robust solution for pa rt-specific and task-oriented grasping."
EdgbastonUnited KingdomEuropeRobot ics and AutomationRoboticsUniversity of Birmingham
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