Daniel Souto

Universidade da Coruña

Papers

9

Total Citations

260

H-Index

8

About

Daniel Souto is a robotics researcher whose work spans cognitive architectures, autonomous systems, and maritime robotics. His most influential contribution, the Multilevel Darwinist Brain (MDB), introduced an evolutionary cognitive architecture enabling real robots to adapt autonomously throughout their operational lifetimes — a landmark work that has garnered over 100 citations and remains a foundational reference in bio-inspired robot learning. Souto has also made significant practical contributions to industrial and maritime robotics, designing autonomous climbing and underwater robots for ship hull maintenance, including the innovative Lappa robot, which achieves adhesion on non-magnetic hulls — a notably difficult engineering challenge. His grit-blasting robot research, accumulated across multiple papers with nearly 70 combined citations, addresses hazardous shipyard operations through intelligent automation. Running alongside these applied efforts is a sustained interest in modular robotic architectures, exploring how reconfigurable designs can accelerate robot deployment in dynamic industrial environments. More recently, Souto has engaged with robotics education, contributing to STEAM-based curricula for high school students using the Robobo platform. Together, his body of work reflects a researcher who bridges theoretical adaptability in robotics with real-world engineering impact.

Research Focus

Key Achievements

8
H-Index
9
Papers
260
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Multilevel Darwinist Brain (MDB): Artificial Evolution in a Cognitive Architecture for Real Robots
102 citations · 2010
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Universidade da Coruña

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago