Claudio Mattiussi

About

Claudio Mattiussi is a pioneering researcher at the intersection of evolutionary computation, neural networks, and autonomous robotics. His work centers on neuroevolution — the use of evolutionary algorithms to automatically design and optimize artificial neural networks — with particular emphasis on biologically inspired spiking neural circuits and their application to real-world robotic systems. Mattiussi's most influential contribution is his comprehensive 2008 survey "Neuroevolution: from architectures to learning," which has garnered over 730 citations and stands as a foundational reference in the field. This work synthesized decades of research on evolving neural network architectures and learning rules, shaping how an entire generation of researchers approaches brain-inspired machine learning. His earlier investigations into spiking neural controllers for vision-based autonomous robots — drawing nearly 140 citations — demonstrated that evolutionary methods could generate efficient, biologically plausible circuits capable of real-world navigation tasks. Beyond locomotion, Mattiussi extended neuroevolution into challenging domains including ultra-light indoor microflyers, adaptive receptive field development, neuromodulated learning, and modular neural controller design. His work consistently bridges theoretical neuroscience and practical robotics engineering, advancing the broader goal of creating machines that learn and adapt through artificial evolution rather than manual programming.

Research Focus

Key Achievements

Top Papers

1. 1
   Neuroevolution: from architectures to learning

   731 citations · 2008
2. 2
   Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots

   139 citations · 2001
3. 3
   Evolution of spiking neural circuits in autonomous mobile robots

   45 citations · 2006
4. 4
   Evolvability of Neuromodulated Learning for Robots

   30 citations · 2008
5. 5
   Active Vision and Receptive Field Development in Evolutionary Robots

   25 citations · 2005
6. 6
   A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit

   25 citations · 2003
7. 7
   Genetic Representation and Evolvability of Modular Neural Controllers

   22 citations · 2010
8. 8
   Vision-based altitude and pitch estimation for ultra-light indoor microflyers

   11 citations · 2006
9. 9
   Evolving Spiking Neurons from Wheels to Wings

   11 citations · 2003
10. 10
    Vision-based Altitude and Pitch Estimation for Ultra-light Indoor Aircraft

    7 citations · 2006

Key Collaborators

Contact & Links