3 papers
cs.RO2026
Robots Need Some Education: On the complexity of learning in evolutionary robotics
Fuda van Diggelen
Evolutionary Robotics and Robot Learning are two fields in robotics that aim to automatically optimize robot designs. The key difference between them lies in what is being optimize…
cs.NE2026
Hebbian Attractor Networks for Robot Locomotion
Alexander Dittrich, Fuda van Diggelen, Dario Floreano
Biological neural networks continuously adapt and modify themselves in response to experiences throughout their lifetime - a capability largely absent in artificial neural networks…
cs.NE2025
Emergent Heterogeneous Swarm Control Through Hebbian Learning
Fuda van Diggelen, Tugay Alperen Karagüzel, Andres Garcia Rincon +3
In this paper, we introduce Hebbian learning as a novel method for swarm robotics, enabling the automatic emergence of heterogeneity. Hebbian learning presents a biologically inspi…