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· Past edition · 5 stories
Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.
Research & academia
Describes a world-action model using visual and geometric priors and reports robot evaluations on a heterogeneous dataset exceeding 20,000 hours.
Why it matters: Open robot data can broaden evaluation of world-action training.
Research & academia
Presents a benchmark for long-horizon multi-agent collaboration with asymmetric roles and an action-dependency metric.
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Why it matters: Agent collaboration can be assessed through dependencies between actions.