首页|University of Southern Florida Details Findings in Robotics (Multiobject Graspi ng-experience Forest for Robotic Finger Movement Strategies)
University of Southern Florida Details Findings in Robotics (Multiobject Graspi ng-experience Forest for Robotic Finger Movement Strategies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Tampa, Florida, by NewsRx journalists, r esearch stated, “This letter introduces a novel Experience Forest algorithm desi gned for multi-object grasping (MOG). Different from single-object grasping, for MOG, the hand poses of a few steps before the end of grasping play important ro les in the success of MOG.” The news reporters obtained a quote from the research from the University of Sou thern Florida, “But similar to single-object grasping, the hand poses that are f ar from the end grasping pose are not as relevant. Therefore, the proposed appro ach invented the Experience Forest structure to organize the finger movement seq uences collected in naive MOG approaches with a set of trees instead of a single tree. The algorithm propagates success or failure results in the trials from en d-pose nodes only to the nodes representing several preceding hand poses. When u sing the trees to generate a grasping sequence, the algorithm generates a finger -movement policy that follows a MOG synergy at the beginning and then transits t o a tree in the Experience Forest and then employs a breadth-first search to ach ieve a more reliable solution.”
TampaFloridaUnited StatesNorth and Central AmericaAlgorithmsEmerging TechnologiesMachine LearningRoboticsRobotsUniversity of Southern Florida
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