paper-with-me

홈 › Papers

Heritability in Morphological Robot Evolution

2021-10-21 · Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe, Jacintha Ellers, Gerben Meynen, A. E. Eiben

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 objective of improving our understanding of the mapping process from encodings to functional robots, we introduce the biological notion of heritability, which captures the amount of phenotypic variation caused by genotypic variation. In our analysis we measure the heritability on the first generation of robots evolved from two different encodings, a direct encoding and an indirect encoding. In addition we investigate the interplay between heritability and phenotypic diversity through the course of an entire evolutionary process. In particular, we investigate how direct and indirect genotypes can exhibit preferences for exploration or exploitation throughout the course of evolution. We observe how an exploration or exploitation tradeoff can be more easily understood by examining patterns in heritability and phenotypic diversity. In conclusion, we show how heritability can be a useful tool to better understand the relationship between genotypes and phenotypes, especially helpful when designing more complicated systems where complex individuals and environments can adapt and influence each other.

📄 PDF Abstract BibTeX arXiv:2110.11187

Code (0)

등록된 구현이 없습니다.

Tasks

Diversity

Similar Papers 제목 키워드 기반

Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learning

2026-08-24 · Junru Song, Yang Yang, Yaqing Xu, Ying Wen 외 arxiv

Robot co-design via bi-level optimization couples within-lifetime controller learning for fitness evaluation with cross-generational morphological evolution. Prior work has established that well-adapted morphology facili…

The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness

2022-08-04 · Jonata Tyska Carvalho, Stefano Nolfi

Exposing an Evolutionary Algorithm that is used to evolve robot controllers to variable conditions is necessary to obtain solutions which are robust and can cross the reality gap. However, we do not yet have methods for …

The Dynamic of Body and Brain Co-Evolution

2020-11-23 · Paolo Pagliuca, Stefano Nolfi

We introduce a method that permits to co-evolve the body and the control properties of robots. It can be used to adapt the morphological traits of robots with a hand-designed morphological bauplan or to evolve the morpho…

Exploring Robot Morphology Spaces through Breadth-First Search and Random Query

2023-09-25 · Jie Luo

Evolutionary robotics offers a powerful framework for designing and evolving robot morphologies, particularly in the context of modular robots. However, the role of query mechanisms during the genotype-to-phenotype mappi…

Diversity

Limits of Lamarckian Evolution Under Pressure of Morphological Novelty

2026-04-17 · Jed R Muff, Karine Miras, A. E. Eiben arxiv

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. Its defining advantage lies in the offsp…