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Nicholas Ezra Pfaff

2 accepted papers

2026

How Well Do Diffusion Policies Learn Kinematic Constraint Manifolds?

ICRA 2026poster

Diffusion policies have shown impressive results in robot imitation learning, even for tasks that require satisfaction of kinematic equality constraints. However, task performance alone is not a reliable indicator of the policy’s ability to precisely learn constraints in the training data. To invest…

2025

Steerable Scene Generation with Post Training and Inference-Time Search

CoRL 2025poster

Training robots in simulation requires diverse 3D scenes that reflect the specific challenges of downstream tasks. However, scenes that satisfy strict task requirements, such as high-clutter environments with plausible spatial arrangement, are rare and costly to curate manually. Instead, we generate…

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