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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.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…
cs.RO2024
Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments
Jie Luo, Karine Miras, Carlo Longhi +2
This study explores the integration of Lamarckian system into evolutionary robotics (ER), comparing it with the traditional Darwinian model across various environments. By adopting…