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✉news TechnologyRobotics first seen 7 h ago, last 2 h ago, peak #14

Survey Maps Affordance Learning From Perception to Robotic Manipulation

Original: Affordance Learning With Foundation Models: A Survey From Perception to Robotic Manipulation

A new survey paper examines affordance learning with foundation models, tracing how large pretrained models can help robots perceive objects, infer possible actions, and carry out manipulation tasks. It brings together recent research spanning perception and robotic control, offering an overview of how foundation models are reshaping robot learning and what challenges remain before real-world deployment.

Why now: Interest in applying foundation models to robotics is surging, and researchers are looking for overviews of this fast-moving field.

foundation modelsaffordance learningrobotic manipulationalphaXiv

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