• F. van Diggelen, N. Cambier, E. Ferrante and A.E. Eiben, A model-free method to learn multiple skills in parallel on modular robots, Nature Communications 15, 6267, 2024, doi: doi.org/10.1038/s41467-024-50131-4. (pdf)
• J. Luo, K. Miras, J. Tomczak, and A.E. Eiben, Enhancing robot evolution through Lamarckian principles, Scientific Reports 13, 21109, 2023, doi: doi.org/10.1038/s41598-023-48338-4. (pdf)
• A.E. Eiben and J. Smith, From evolutionary computation to the evolution of things, Nature, 521:476-482, doi:10.1038/nature14544, 2015. (pdf)
• D. Howard, A.E. Eiben, D.F. Kennedy, J.-B. Mouret, P. Valencia, and D. Winkler, Evolving embodied intelligence from materials to machines, Nature Machine Intelligence 1(1):12-19, January 2019, doi: 10.1038/s42256-018-0009-9.
• G. Vasarhelyi, C. Viragh, G. Somorjai, T. Nepusz, A.E. Eiben, T. Vicsek, Optimized flocking of autonomous drones in confined environments, Science Robotics 3, July 2018, eaat3536.