Michael Bax
Papers
1
Total Citations
10
H-Index
1
About
Dr. Michael Bax is a leading researcher at the intersection of artificial intelligence, knowledge engineering, and advanced manufacturing. His work focuses on bridging the gap between symbolic AI—particularly ontologies—and the emergent capabilities of large language models (LLMs) to enable truly collaborative human-robot systems. In his highly influential paper, "From Ontologies to Knowledge Augmented Large Language Models for Automation," Bax provides a critical decision-making framework for integrating these technologies within the paradigm of Industry 5.0, emphasizing human-centric, resilient, and sustainable automation. This work, already garnering over 10 citations since its 2025 publication, is a cornerstone for engineers and computer scientists seeking to design intelligent systems that reason, adapt, and communicate effectively with human partners. Bax’s contributions are shaping the future of smart factories, where machines are not just tools but collaborative teammates. His research is essential reading for anyone exploring the convergence of knowledge representation, generative AI, and industrial robotics.
Research Focus
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Top Papers
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