Pretrained vision-language models (VLMs) already exhibit strong visual, spatial and reasoning capabilities relevant to robotic manipulation. The key challenge in turning pretrained VLMs into generalist manipulation policies is to expose these capabilities through an appropriate action interface. Vision-language-action...
Jing-Kun Yi, Shu-Jie Zhang, Zi-Rui Zhou et al.· 0 citations
Academic surveys play a central role in organizing rapidly expanding scholarly literature, yet their construction requires extensive paper analysis, coherent knowledge organization, fine-grained citation support, and reliable manuscript assembly. Existing Deep Research and automated survey generation systems address pa...
Zhi-Kai Xu, Zhu-Cun Xue, Teng Hu et al.· 0 citations
This survey is the first to systematically study smart glasses through a unified framework, formalizing first-person data flow and constrained task utility, and introducing an L0-L5 framework spanning capture, reactive perception, contextual assistance, persistent state, governed action, and embodied coupling.
This work conceptualize Agent-Centric Interactive World Proxies, shifting the fundamental paradigm from physical state transitions to agent-usable information transitions, such as execution outcomes, retrieved experiences or skills, and verification signals, broadening the scope of world modeling to provide versatile f...
Yu Yang, Xuemeng Yang, Licheng Wen et al.· 0 citations
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