Guided Streaming Stochastic Interpolant Policy
A principled inference-time guidance framework for streaming generative robot policies, enabling fast, reactive obstacle avoidance within the action chunk.
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Paper Accepted at ICML'26.
We are excited to share that a paper from CLeAR has been accepted to ICML 2026! Here’s a snapshot: Conflict-Aware Additive Guidance for Flow Models under Co...
CAR Guidance: Staying On-Manifold under Compositional Rewards
We introduce a plug-and-play module that corrects off-manifold drift when guiding flow models with multiple rewards at inference time.
2 Papers at R:SS'26.
We are excited to share that two papers from CLeAR were accepted to R:SS 2026! More information about the papers is coming soon, but here’s a snapshot: ...
3 Papers at ICLR'26.
All three of our submissions were accepted to ICLR 2026! A fantastic accomplishment by our CLeAR members and collaborators. Here’s a snapshot: Know ...
