الباحثون

David D. Yuan

المنشورات 2

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OpenWAM: An Open Framework for Composable World-Action Models

Heng Yu, David D. Yuan, Juze Zhang وآخرون · 2026

World-action models (WAMs) couple future prediction with robot control, yet existing systems often vary the video backbone, interaction structure, supervision, and inference procedure simultaneously, making their design choices difficult to compare. We introduce OPENWAM, an open world-action modeling framework built ar …

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Mulligan: Performance-Guided Data Collection for Efficient On-Robot Learning

Lars Ankile, Perry Dong, Rohan Bhowmik وآخرون · 2026

Learning from human demonstrations is a reliable way to teach robots new tasks, but the gains from each additional demonstration shrink as the policy improves. Continued improvement can instead come from supervised deployment, where an operator places the objects and intervenes when the policy fails. We ask how to maxi …

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