Flow-based Vision-Language-Action (VLA) policies are inherently stochastic: different noise seeds can produce action chunks of varying quality from the same observation. At test time, however, the policy typically commits to a single sample without an explicit estimate of its quality. In fine-grained manipulation, exec...
Xue-Li Sun, Yuxiang Lu, Yan-Tong Liu et al.· 0 citations
Multimodal large language models have made remarkable progress in bridging vision and language, facilitating various perception tasks essential for human-machine interaction, robotics, and autonomous driving. However, existing MLLM-based perception methods predominantly rely on text-based coordinate representation, whi...
StreamPI is proposed, a streaming multimodal temporal modeling framework that equips single-frame VLA with temporal reasoning capability without introducing any additional parameters and seamlessly inherits pretrained single-frame weights and supports flexible single-frame and multi-frame inference.
Zhe Liu, Jing-Hua Hou, Yuxiang Lu et al.· 4 citations· ⚡1
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