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<p>Embodied Intelligence (EI) is propelling industrial manufacturing systems toward the Industry 5.0 paradigm, yet a core challenge remains in systematically integrating physical entities with advanced cognitive capabilities. This article aims to address this challenge by proposing a novel ecosystem framework to guide the EI empowerment of smart manufacturing characterized by autonomy, adaptability, and collaboration. Our primary contribution is the presentation of the Embodied Smart Manufacturing Empowerment (ESME) ecosystem that dissolves the boundaries among heterogeneous production elements inherent in conventional manufacturing, thereby enabling dynamic empowerment across the entire lifecycle of the manufacturing system. The ESME ecosystem uniquely structures the manufacturing lifecycle into three interconnected stages: (1) Design Stage EI, focusing on comprehensive virtual optimization; (2) Manufacturing Stage EI, for adaptive and high-precision physical execution; and (3) Running Stage EI, dedicated to continuous autonomous evolution in operation. Through a comprehensive review and analysis of empowerment processes associated with diverse EI-related enablers and an examination of their mutual coupling relationships across these stages, a closed-loop “perception-analysis-decision-execution-evolution” cycle can be established. This work provides a clear roadmap and theoretical foundation for realizing highly intelligent, ubiquitous, and autonomous manufacturing systems, offering significant implications for future academic research and industrial practice.</p>

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Perspectives and prospects on embodied intelligence-empowered smart manufacturing

  • 期刊论文

  • 发表日期：

    2026年1月6日

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  • Luo Fang,
  • Jianhua Shi,
  • Ligang Wu,
  • Jinbiao Tan,
  • Jiafu Wan

摘要

Embodied Intelligence (EI) is propelling industrial manufacturing systems toward the Industry 5.0 paradigm, yet a core challenge remains in systematically integrating physical entities with advanced cognitive capabilities. This article aims to address this challenge by proposing a novel ecosystem framework to guide the EI empowerment of smart manufacturing characterized by autonomy, adaptability, and collaboration. Our primary contribution is the presentation of the Embodied Smart Manufacturing Empowerment (ESME) ecosystem that dissolves the boundaries among heterogeneous production elements inherent in conventional manufacturing, thereby enabling dynamic empowerment across the entire lifecycle of the manufacturing system. The ESME ecosystem uniquely structures the manufacturing lifecycle into three interconnected stages: (1) Design Stage EI, focusing on comprehensive virtual optimization; (2) Manufacturing Stage EI, for adaptive and high-precision physical execution; and (3) Running Stage EI, dedicated to continuous autonomous evolution in operation. Through a comprehensive review and analysis of empowerment processes associated with diverse EI-related enablers and an examination of their mutual coupling relationships across these stages, a closed-loop “perception-analysis-decision-execution-evolution” cycle can be established. This work provides a clear roadmap and theoretical foundation for realizing highly intelligent, ubiquitous, and autonomous manufacturing systems, offering significant implications for future academic research and industrial practice.