首页|Investigators at Georgia Institute of Technology Detail Findings in Robotics (Le arning Generalizable Vision-tactile Robotic Grasping Strategy for Deformable Obj ects Via Transformer)
Investigators at Georgia Institute of Technology Detail Findings in Robotics (Le arning Generalizable Vision-tactile Robotic Grasping Strategy for Deformable Obj ects Via Transformer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingin Atlanta, Georgia, by NewsRx j ournalists, research stated, “Reliable robotic grasping, especially withdeforma ble objects such as fruits, remains a challenging task due to underactuated cont act interactionswith a gripper, unknown object dynamics and geometries. In this study, we propose a transformer-basedrobotic grasping framework for rigid grip pers that leverage tactile and visual information for safe objectgrasping.”
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaEmerging TechnologiesMachine LearningRoboticsRobotsG eorgia Institute of Technology
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