清华大学深圳国际研究生院曾龙、冯平法教授团队在《制造系统杂志》上发表了具身智能工业机器人（EIIR）技术框架研究成果1。该框架旨在赋予工业机器人感知、决策、执行的能力1，使其能够从原有的按程序执行作业升级为根据环境情况灵活办事1。
该技术框架的核心基础是机器人需要掌握三类必需知识：通用知识、工作环境知识和操作对象知识1。论文由2023级硕士生张超然、2024级硕士生张晨昊作为第一作者，曾龙担任通讯作者1。该框架中的部分技术模块已经实现了产业化应用1。该研究得到了国家自然科学基金面上项目、广东省自然科学基金面上项目和深圳市科技重大专项的资助1。
Researchers from Tsinghua University's Shenzhen International Graduate School have unveiled a technological framework that endows industrial robots with autonomous decision-making abilities, marking a significant advancement in factory automation.1 The team led by professors Zeng Long and Feng Pingfa published their findings in the Journal of Manufacturing Systems, presenting an embodied intelligent industrial robot (EIIR) framework that enables machines to perceive their environment, make decisions, and execute tasks based on real-time conditions rather than following pre-programmed routines.1
The EIIR framework integrates three core capabilities—perception, decision-making, and execution—supported by three categories of essential knowledge: general knowledge, work environment knowledge, and operational object knowledge.1 This advancement transforms industrial robots from rigid, script-following machines into adaptive systems capable of responding to varying workplace circumstances.1 The research, conducted by graduate students Zhang Chaoran (Class of 2023) and Zhang Chenhao (Class of 2024) under the direction of Professor Zeng Long, has already achieved partial industrialization through several technology modules that are currently being applied in production environments.1 The project received funding support from the National Natural Science Foundation of China, the Guangdong Provincial Natural Science Foundation, and Shenzhen's major science and technology initiatives.1
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