Robotics & Machine Learning Daily News2024,Issue(Jul.9) :60-61.

Investigators at Georgia Institute of Technology Detail Findings in Robotics (Le arning Generalizable Vision-tactile Robotic Grasping Strategy for Deformable Obj ects Via Transformer)

Robotics & Machine Learning Daily News2024,Issue(Jul.9) :60-61.

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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Abstract

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.”

Key words

Atlanta/Georgia/United States/North a nd Central America/Emerging Technologies/Machine Learning/Robotics/Robots/G eorgia Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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