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cs.RO2026

BiDex-100: A Comprehensive Benchmark for Bimanual Dexterous Manipulation Across 100+ Simulation Tasks

Yong Wang, Kecheng Zheng, Xing Zhu +3

Bimanual manipulation with dexterous hands has attracted growing attention in research on robotic action models. However, few studies have developed benchmarks specifically tailore…

cs.RO2026

Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization

Jiaming Zhou, Qihang Zhang, Gangwei Xu +9

Zero-shot cross-task generalization, where a policy must execute manipulation tasks never seen during training, remains a central challenge in robot learning. In large language mod…

cs.RO2026

Native Video-Action Pretraining for Generalizable Robot Control

Qihang Zhang, Lin Li, Luyao Zhang +26

The advent of video-action models offers a promising path for robot control. Nevertheless, we argue that repurposing video generative models designed for digital content creation i…

cs.RO2026

From Foundation to Application: Improving VLA Models in Practice

Wei Wu, Fangjing Wang, Fan Lu +21

Despite recent progress of VLA foundation models, the disparity between laboratory conditions and real-world applications continues to impede their practical implementation. To bri…

cs.RO2026

A Pragmatic VLA Foundation Model

Wei Wu, Fan Lu, Yunnan Wang +22

Offering great potential in robotic manipulation, a capable Vision-Language-Action (VLA) foundation model is expected to faithfully generalize across tasks and platforms while ensu…