162 citations · 390 across the 28 of their papers we have counts for
28 papers
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms
Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier +2
Natural groups of animals, such as swarms of social insects, exhibit astonishing degrees of task specialization, useful to address complex tasks and to survive. This is supported b…
A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots
Jie Luo, Carlo Longhi, Agoston E. Eiben
In the most extensive robot evolution systems, both the bodies and the brains of the robots undergo evolution and the brains of 'infant' robots are also optimized by a learning pro…
Environment induced emergence of collective behaviour in evolving swarms with limited sensing
Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel +3
Designing controllers for robot swarms is challenging, because human developers have typically no good understanding of the link between the details of a controller that governs in…
Comparing lifetime learning methods for morphologically evolving robots
Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben
Evolving morphologies and controllers of robots simultaneously leads to a problem: Even if the parents have well-matching bodies and brains, the stochastic recombination can break…
The Effects of Learning in Morphologically Evolving Robot Systems
Jie Luo, Aart Stuurman, Jakub M. Tomczak +2
Simultaneously evolving morphologies (bodies) and controllers (brains) of robots can cause a mismatch between the inherited body and brain in the offspring. To mitigate this proble…
Heritability in Morphological Robot Evolution
Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe +3
In the field of evolutionary robotics, choosing the correct encoding is very complicated, especially when robots evolve both behaviours and morphologies at the same time. With the…