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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
15992
World Ranking
3579
National Ranking
65

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Stefano Nolfi is affiliated with the National Research Council (CNR) in Italy and has a significant body of work in the field of computer science, particularly focused on artificial intelligence.

Their research topics prominently cover:

  • Evolutionary Algorithms and Applications
  • Reinforcement Learning in Robotics
  • Metaheuristic Optimization Algorithms Research
  • Modular Robots and Swarm Intelligence
  • Action Observation and Synchronization
  • Topic Modeling
  • Natural Language Processing Techniques

Nolfi's publications span several key subfields, including artificial intelligence with a strong leaning toward robotics and machine learning, alongside contributions to mechanical engineering, social psychology, computer vision and pattern recognition, and cognitive neuroscience.

Their work appears frequently in specific venues, which include:

  • Frontiers in Robotics and AI
  • arXiv (Cornell University)
  • Adaptive Behavior
  • Evolutionary Intelligence
  • Artificial Life

Frequent coauthors in their research collaborations are:

  • Nicola Milano
  • Paolo Pagliuca
  • Jônata Tyska Carvalho
  • Fernando Aldana-Franco
  • Fernando Montes-González

Among recent publications, notable papers include:

  • "On the Unexpected Abilities of Large Language Models," 2024, Adaptive Behavior
  • "Improvement of Signal Communication for a Foraging Task Using Evolutionary Robotics," 2024, Journal of Applied Research and Technology
  • "The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness," 2023, Evolutionary Computation
  • "Development of Multiple Behaviors in Evolving Robots," 2020, Robotics
  • "Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization," 2020, Frontiers in Robotics and AI

Their research contributions integrate themes of evolutionary computing applied to robotics, continuous control optimization, and behavior development in evolving systems. Their work on large language models suggests an interest also in emerging capabilities of artificial intelligence beyond traditional robotic applications.

Best Publications

  • Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines

    Stefano Nolfi;Dario Floreano

  • Evolutionary robotics

    Evert Haasdijk;Nicolas Bredeche;Stefano Nolfi;A. E. Eiben

  • Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms

    Marco Dorigo;Dario Floreano;Luca Maria Gambardella;Francesco Mondada

  • Evolving mobile robots in simulated and real environments

    Orazio Miglino;Henrik Hautop Lund;Stefano Nolfi

  • Swarm-Bot: A New Distributed Robotic Concept

    Francesco Mondada;Giovanni C. Pettinaro;Andre Guignard;Ivo W. Kwee

  • Learning and evolution in neural networks

    Stefano Nolfi;Domenico Parisi;Jeffrey L. Elman

  • Evolving Self-Organizing Behaviors for a Swarm-Bot

    Marco Dorigo;Vito Trianni;Erol Şahin;Roderich Groß

  • Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems

    J. Tani;S. Nolfi

  • How to Evolve Autonomous Robots: Different Approaches in Evolutionary Robotics

    Stefano Nolfi;Dario Floreano;Orazio Miglino;Francesco Mondada

  • Coevolving Predator and Prey Robots: Do Arms Races Arise in Artificial Evolution?

    Stefano Nolfi;Dario Floreano

  • Learning to Adapt to Changing Environments in Evolving Neural Networks

    Stefano Nolfi;Domenico Parisi

  • The cooperation of swarm-bots: physical interactions in collective robotics

    F. Mondada;L.M. Gambardella;D. Floreano;S. Nolfi

  • Evolving mobile robots able to display collective behaviors

    Gianluca Baldassarre;Stefano Nolfi;Domenico Parisi

  • Learning and Evolution

    Stefano Nolfi;Dario Floreano

  • Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics

    A Cangelosi;G Metta;G Sagerer;S Nolfi

  • Cell division and migration in a `genotype' for neural networks

    Angelo Cangelosi;Domenico Parisi;Stefano Nolfi

  • Econets: Neural networks that learn in an environment

    Domenico Parisi;Federico Cecconi;Stefano Nolfi

  • Evolving non-trivial behaviors on real robots: A garbage collecting robot

    Stefano Nolfi

  • Using emergent modularity to develop control systems for mobile robots

    Stefano Nolfi

  • The SWARM-BOTS project

    Marco Dorigo;Elio Tuci;Roderich Groß;Vito Trianni

  • Co-evolving predator and prey robots

    Stefano Nolfi

  • Cell division and migration in a 'genotype' for neural networks (Cell division and migration in neural networks)

    Angelo Cangelosi;Domenico Parisi;Stefano Nolfi

Frequent Co-Authors

Domenico Parisi
Domenico Parisi National Academies of Sciences, Engineering, and Medicine
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Vito Trianni
Vito Trianni National Research Council (CNR)
Francesco Mondada
Francesco Mondada École Polytechnique Fédérale de Lausanne
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Gianluca Baldassarre
Gianluca Baldassarre National Academies of Sciences, Engineering, and Medicine
Angelo Cangelosi
Angelo Cangelosi University of Manchester
Jun Tani
Jun Tani Okinawa Institute of Science and Technology
Giovanni Pezzulo
Giovanni Pezzulo National Academies of Sciences, Engineering, and Medicine
Giorgio Metta
Giorgio Metta Italian Institute of Technology

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