Papers

104

Total Citations

1,870

H-Index

22

About

Richard J. Duro is a prominent researcher whose work spans artificial intelligence, cognitive architectures, evolutionary computation, and autonomous robotics. Based at the University of A Coruña in Spain, Duro has made substantial contributions to the development of intelligent, adaptive systems capable of learning and evolving in real-world environments. Among his most influential contributions is the Multilevel Darwinist Brain (MDB), a biologically inspired cognitive architecture that enables robots to autonomously adapt and learn over their operational lifetimes using evolutionary principles — a landmark work that has garnered over 100 citations. His pioneering research on open-ended learning and representational redescription has helped lay theoretical groundwork for AI systems that grow beyond predefined task boundaries, a challenge central to modern robotics and machine intelligence. Duro has also shaped broader conversations in the field through highly cited review works on artificial intelligence and explainable AI, with papers accumulating over 300 and 190 citations respectively, demonstrating his range across both foundational theory and emerging applications. His practical robotics work, including an autonomous ship hull grit-blasting robot, illustrates a commitment to translating research into real-world industrial impact. Across his career, Duro's research consistently bridges biological inspiration, evolutionary design, and intelligent autonomous systems.

Research Focus

Key Achievements

22
H-Index
104
Papers
1,870
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
312 citations · 2020
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 144
🏛 Institutions: Universidade da Coruña, CITIC Group (China), Universidad de La Rioja

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Key Collaborators

Contact & Links

Available for collaboration
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