人类-人工智能协同具身智能用于科学实验与制造
Human-AI Co-Embodied Intelligence for Scientific Experimentation and Manufacturing
AI总结：
本研究提出人类-人工智能协同具身智能，通过智能体-物理实验系统提升科学实验与制造的精度与可扩展性。
摘要：
科学实验与制造依赖于长期的协议开发和复杂的多步骤实施，这需要持续的人类专业知识以实现精确执行和决策，限制了可解释性和可扩展性。在此，我们介绍了人类-人工智能（AI）协同具身智能，这是一种新的物理AI形式，将人类研究人员、智能体AI和可穿戴硬件结合在一起。在这一范式中，人类提供精确执行，而智能体AI则贡献上下文推理、自适应规划和分析。可穿戴接口持续捕捉实验与制造过程，促进人与AI之间的无缝通信。我们在此范式中构建了一个微电子制造洁净室，开发出智能体-物理实验（APEX）系统，该系统在精度上比最先进的多模态大语言模型/视觉语言模型（LLMs/VLMs）高51%，能够实时检测并纠正制造错误，并将操作专业知识转移到新手用户。关键的是，APEX系统能够实现洁净室中的协议共同开发，克服了标准微电子制造过程中弹性材料的不兼容性，实现了此前无法达到的制造成果，如通过晶圆级实现的脑级软神经探针，可实现单单元神经记录。这些结果确立了人类-人工智能协同具身智能，将智能体推理扩展到物理领域，将科学实验与制造转变为自主、可追溯、可解释和可扩展的过程。
英文摘要：
Scientific experimentation and manufacturing rely on prolonged protocol development and complex, multi-step implementation, which require continuous human expertise for precise execution and decision-making, limiting interpretability and scalability. Here, we introduce human-artificial intelligence (AI) co-embodied intelligence, a new form of physical AI that unites human researchers, agentic AI, and wearable hardware. In this paradigm, humans provide precise execution, while agentic AI contributes contextual reasoning, adaptive planning, and analysis. The wearable interface continuously captures experimentation and manufacturing, facilitating seamless communication between humans and AI. We instantiate this paradigm in a microfabrication cleanroom, leading to the agentic-physical experimentation (APEX) system which understands fabrication procedure with accuracy 51% higher than state-of-the-art multimodal large language models/vision language models (LLMs/VLMs), detects and corrects fabrication errors in real-time, and transfers procedural expertise to novice users. Critically, APEX system enables the co-development of fabrication protocols in cleanrooms, overcoming the incompatibility of elastomeric materials in standard microfabrication processes and enabling previously unattainable fabrication outcomes, as demonstrated by the wafer-scale realization of brain-level soft neural probe capable of single-unit-resolution neural recording. These results establish the human-AI co-embodied intelligence that extends agentic reasoning beyond computation into the physical domain, transforming scientific experimentation and manufacturing into autonomous, traceable, interpretable and scalable processes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
