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Robotic Grasping Strategies Based on Classification of Orientation State of Objects
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Probabilistic Learning of Robotic Grasping Strategy Based on Natural Language Object Descriptions
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Authors: Bharath Rao
Categories: Electronic dissertations
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Humans learn to be dexterous by interacting with a wide variety of objects in different contexts. Given the description of an object's physical attributes, huma
Robotic Grasping Using Demonstration and Deep Learning
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Robotic grasping is a challenging task that has been approached in a variety of ways. Historically grasping has been approached as a control problem. If the for
Annals of Scientific Society for Assembly, Handling and Industrial Robotics
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This Open Access proceedings present a good overview of the current research landscape of industrial robots. The objective of MHI Colloquium is a successful net
Weakly-supervised Learning for Object Classification and Localization in Robotic Grasping
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Authors: Hwei Geok Ng
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