LIBERO-Plus (Product): news timeline & CVEs

RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments

RoboRSI lets a mobile manipulator reuse validated skills, beating baselines by up to 11 points.

RoboRSI is a robot self-improvement system that organizes execution experience with Top-Down Skill Refinement. Tasks are split into compound, atomic, and base skills with explicit contracts, and revisions are confined to the branch responsible for a failure. Manager, Planner, Engineer, and Reviewer roles plan, execute, diagnose, and release validated skills. On a mobile manipulator it developed household cleanup over 104 rounds and beat the strongest baseline by 2.7 to 11.0 points on LIBERO, LIBERO-PRO, LIBERO-Plus, and RoboTwin.

arXiv cs.AI / cs.LG / cs.CLOct 8, 17:55 UTC · 2d agoAI research 2 sources2· 1 read

Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control

NowWAM adapts diffusion transformers for robot control by denoising current frames, hitting 87.7% on LIBERO-Plus.

NowWAM adapts pretrained generative Diffusion Transformers for robot control by denoising the current observation and predicting actions from the same visual stream, without a future visual target. Matched experiments show past and future targets perform similarly, while training only at the clean endpoint hurts robustness. On LIBERO-Plus, NowWAM with FLUX2-Klein reaches 87.7%, 6.1 points above future-target co-training, while cutting visual tokens from 784 to 392 and step time from 2.85s to 1.63s. A text-to-image Z-Image backbone reaches 87.8%, indicating the gain is not limited to video or image-editing models.

Hugging Face daily papersSep 22, 20:00 UTC · 18d agoAI research

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RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments

Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control