Author

Kai Xie

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#machine learning Preprint Sep 2026

ARS: Agentic Reward System for Robot Learning

The Agentic Reward System (ARS) is introduced, an inference framework for progress reward modeling with general-purpose vision-language models (VLMs), without additional reward-model training, and its results suggest that structured inference and verification can improve the usefulness of general-purpose VLMs for robot...

Sheng-Miao Hu, Wei-Yi Lu, Ling-Bing Zeng et al. · 0 citations

Jul 2026

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation

DSWAM is introduced, a Dual-System World Action Foundation Model for fine-grained robot manipulation and built and evaluated under the DeMaVLA real-world deformable manipulation setting with matched robot platform, pretraining data, post-training data, and evaluation criteria.

Jian Zhu, Jianjun Zhang, Taiyi Su et al. · arXiv.org · 2 citations