3 papers
cs.RO2026
Limits of Lamarckian Evolution Under Pressure of Morphological Novelty
Jed R Muff, Karine Miras, A. E. Eiben
Lamarckian inheritance has been shown to be a powerful accelerator in systems where the joint evolution of robot morphologies and controllers is enhanced with individual learning.…
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…
cs.RO2025
Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Jed Muff, Keiichi Ito, Elijah H. W. Ang +2
Evolution and learning have historically been interrelated topics, and their interplay is attracting increased interest lately. The emerging new factor in this trend is morphologic…