SCHOLARLY RECORD / ARXIV
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Deirdre Quillen
Educational abstract, not a reproduction
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Plain-language summary
The work studies closed-loop grasping learned from a large collection of robot interaction data.
Why it matters
It helped demonstrate how large-scale physical data collection could support vision-based manipulation.