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cs.RO2026
RDGen: Demonstration Generation for High-Quality Robot Learning via Reinforcement Learning
Zijian Zhu, Menglin Zou, Zhuang Li +2
Vision-Language-Action (VLA) models have emerged as a promising paradigm for general-purpose robot control. However, their performance remains fundamentally constrained by the avai…
cs.RO2026
ROI-Driven Foveated Attention for Unified Egocentric Representations in Vision-Language-Action Systems
Xinhai Sun, Xiang Shi, Menglin Zou +1
The development of embodied AI systems is increasingly constrained by the availability and structure of physical interaction data. Despite recent advances in vision-language-action…
cs.RO2026
SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
Xiang Shi, Wenlong Huang, Menglin Zou +1
We revisit Vision-Language-Action through a neuroscience-inspired triad. Biologically, the Cerebrum provides stable high-level multimodal priors and remains frozen; the Pons Adapte…