" 我们想要 answer back 黄仁勋那句「只有三种机器人可以大规 模量产，人形机器人、无人机和汽车」。 " 作者丨 齐铖湧 编辑丨马晓宁 过去两年，具身智能的火热源于一个共同期待：大语言模型的出色能力有目共睹，若将其接入机器人，有 望赋予机器人更聪明的大脑，从而为行业打开新空间。 然而热闹两年后，具身智能仍没有标准答案，却出 现了很多细分领域，智能飞行机器人就是其中一个重要分支。 浙江大学控制学院长聘副教授、博士生导师高飞，就是这个领域的一位非常优秀的年轻学者。 高飞的主研方向包括空中机器人、自主导航、集群协同、具身智能，提出了国际首个非结构化场景下的自 主飞行集群系统，发表多篇Science Robotics、TRO等顶级期刊、学术会议论文，并创立了微分智飞。 高飞是国家优青基金获得者，获IEEE TRO、IROS等多项最佳论文提名，入选2023-2024全球前2%顶尖 科学家、2025《麻省理工科技评论》"35岁以下科技创新35人"(MIT TR35)亚太区榜单等。 在刚刚结束的 GAIR 2025，高飞教授在雷峰网举办的GAIR大会现场，做了主题为《智能飞行机器人研究 进展及产业应用》的分享，他 ...

Core Insights - The article emphasizes the transition of AI from "specialized" to "generalized" language understanding over the past decade, with the next key battle being the expansion of this generality from the realm of language to the physical world [1] Group 1: Data Paradigm Shift - Data is evolving from a traditional "resource" role to a more fundamental "cognitive foundation" and "value carrier" [3] - High-quality, structured, and logically coherent data is becoming essential for defining the cognitive boundaries and aligning the value of models [3][4] - The forum discussed building a more interpretable, credible, and evolutionary knowledge system amidst the data deluge, highlighting data as a core link driving intelligent evolution and harmonious coexistence with society [4] Group 2: One Brain, Many Forms - The "One Brain, Many Forms" paradigm is redefining how intelligence is constructed, moving beyond single models for specific tasks to a unified cognitive core that can dynamically generate various forms for different scenarios [5] - This approach aims to achieve a leap from "specialized intelligence" to "unified intelligence," allowing the same "brain" to understand language, interpret visuals, and manipulate entities while sharing knowledge across different forms [5] Group 3: Embodied Intelligence and Data Collection - The founder of Noitom Robotics, Dr. Dai Ruoli, highlighted the high demand for quality data in the field of humanoid robots and embodied intelligence, emphasizing the relationship between data scale, quality, and model capability [10] - Dr. Dai identified three structural challenges in remote operation as a data acquisition method, pushing the industry to explore more universal and scalable data acquisition paradigms [11][12] - The concept of a "data pyramid" was introduced, stressing the importance of understanding the core value of data at different levels to create sustainable engineering and business paths [12] Group 4: Future of Embodied Data - The CEO of Jishudai Iteration, Tong Xianqiao, predicted an explosive growth in embodied data volume in the coming years, positioning "embodied data services" as a significant opportunity in the robotics sector [15] - Current data collection methods were categorized into two paths: real machine end and simulation end, focusing on various techniques for data acquisition [16] - A platform design approach was proposed to enhance data collection efficiency and optimize deployment, introducing the concept of AI agents for automatic annotation and resource management [17] Group 5: One Brain, Many Forms Discussions - The forum on "One Brain, Many Forms" featured discussions on the development of embodied intelligence and the integration of world models, with participants emphasizing the ongoing exploration phase in the industry [45][46] - The challenges of achieving a universal controller were discussed, with insights on the differences in performance based on hardware capabilities and algorithmic approaches [47] - The panel concluded with reflections on the future of embodied intelligence, highlighting the gap between innovative ideas and practical applications in the industry [48]

中新网湖州11月8日电(胡丰盛 徐震)11月8日，浙江湖州西塞科学谷迎来一场科技与资本交融的盛会—— 人工智能(具身智能机器人领域)产业投资对接会。来自全国各地的投资人、技术专家与行业领袖齐聚一 堂。会上，一批具身智能领域的标志性应用场景与专项产业基金集中亮相，现场签约项目总投资额达 66.6亿元。 具身智能，作为写入2025年中国政府工作报告的未来产业方向，正以"看得见的智慧"走进现实——它让 AI拥有"身体"，在真实世界中感知、决策、行动，不断学习与进化。湖州，正加速打造具身智能产业新 高地。 观众进行互动。项飞 摄 "核心企业+研发机构"的黄金梯队 如果说传统AGV是沿着轨道行驶的"火车"，那具身智能机器人就是能"越野"的全地形车，灵活应对复杂 环境。 在湖州长兴的诺力智能装备公司，一台名为"诺宝II号"的化工取样机器人正展示"绝活"：它稳稳抓起玻 璃瓶与瓶盖，精准旋紧，再轻放至置物架。诺力智能大客户总监张伟兵介绍，这款由企业与浙江大学机 器人研究院联合研发的机器人，今后将在化工、强腐蚀等高危场景中实现"人机替代"。 作为湖州重点发展的新兴产业，也是发展最快的产业，湖州在具身智能产业的布局加速成型。湖州 ...