Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
The work studies closed-loop grasping learned from a large collection of robot interaction data.
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3 results for “robotics development” · Research
The work studies closed-loop grasping learned from a large collection of robot interaction data.
The project aggregates robot demonstration data across institutions and studies models trained across different robot embodiments.
The paper describes vision-language-action models that represent robot actions alongside visual and language inputs.