Ekaitz Hurtado
Papers
1
Total Citations
4
H-Index
1
About
Ekaitz Hurtado is a leading researcher in the digitization of manufacturing, specializing in self-configurable systems, industrial agents, and semantic interoperability. His most influential work, “Self-configurable Manufacturing Industrial Agents (SMIA),” introduces a groundbreaking standardized approach that automatically generates operational Digital Twins from semantically enriched Asset Administration Shell (AAS) models. By integrating AAS, Capability, Skill, and Service (CSS) models with Multi-Agent Systems (MAS), Hurtado’s architecture enables manufacturing assets to autonomously configure and adapt—dramatically reducing engineering overhead. A key innovation is his extended CSS model, which explicitly distinguishes between physical and agent capabilities, allowing for more flexible and intelligent production lines. With 4 citations already, this 2025 paper is rapidly gaining traction as a foundational reference for Industry 4.0 and 5.0 research. Hurtado’s commitment to open-source engineering further amplifies his impact, promoting modular, accessible solutions that empower both academia and industry. His work is essential reading for anyone exploring autonomous manufacturing, digital twins, or industrial agent systems.
Research Focus
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Top Papers
- 1