AI 中文总结
本文提出科学意图驱动的具身智能太阳望远镜（SIDEST）概念系统，通过三个核心层实现三种智能科学研究闭环，构建最小原型系统验证其核心原理及技术路径可行性，以前沿AI方法重新定义望远镜。
AI 中文摘要
人工智能正在深刻改变科学研究范式，大语言模型和具身智能等前沿技术不断拓展科学仪器边界。本文提出科学意图驱动的具身智能太阳望远镜（SIDEST）这一新颖概念系统。它有三个核心层实现三种智能科学研究闭环。首先是科学意图研究与演示层，通过自然语言交互解析科学家研究目标与意图，经深入研究实现与科学意图一致的可执行观测计划生成与优化闭环。其次是观测实现层，调度具身智能太阳望远镜执行科学观测计划闭环。最后是评估与进化层，协调智能体进行数据处理与科学分析，分析观测数据、生成研究报告并基于结果迭代优化观测策略与模型方法，实现整个系统自我进化闭环。研究中构建了基于太阳望远镜双折射滤光片精密温度控制装置的最小原型系统，验证了SIDEST核心原理，成功实现意图驱动自动研究所有关键步骤，证明了三种智能研究闭环技术路径的可行性。SIDEST通过前沿人工智能方法重新定义了望远镜。
英文摘要
Artificial Intelligence (AI) is profoundly transforming the paradigms of scientific research. Cutting-edge technologies such as Large Language Models (LLMs) and embodied intelligence are continuously pushing the boundaries of scientific instrumentation. Against this backdrop, this paper proposes a novel conceptual system: the Scientific-Intention Driven Embodied Intelligent Solar Telescope (SIDEST). The system is designed with three core layers to achieve three types of intelligent scientific research closed loops. First, the Scientific Intent Research and Demonstration Layer parses the research objectives and intents of scientists (e.g., solar physicists) through natural language interaction, achieving a closed loop for the generation and optimization of executable observation plans aligned with scientific intent via in-depth research. Subsequently, the Observation Realization Layer schedules embodied intelligent solar telescopes to implement a closed loop for the execution of scientific observation plans. Finally, the Evaluation and Evolution Layer coordinates intelligent agents for data processing and scientific analysis to analyze observation data, generate research reports, and iteratively optimize observation strategies and model methods based on results, thereby realizing a self-evolving closed loop for the entire system. During the research process, we constructed a minimal prototype system based on a precision temperature control device for solar telescope birefringent filters to validate the core principles of SIDEST. This prototype successfully implemented all key steps of intention-driven automated research, demonstrating the feasibility of the technical pathways for the three types of intelligent research closed loops. SIDEST redefines telescopes through cutting-edge AI methods.
Comments39 pages, 14 figures
Journal refLaser & Optoelectronics Progress, 2026, 63(8): 0839014
