14 citations · 14 across the 3 of their papers we have counts for
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.NE2020★ 14 cited
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies
Gongjin Lan, Matteo De Carlo, Fuda van Diggelen +3
We generalize the well-studied problem of gait learning in modular robots in two dimensions. Firstly, we address locomotion in a given target direction that goes beyond learning a…