Abstract
This paper studies the effects of extending an evolvable modular robot system by ‘bones’ of evolvable length. Based on simulations, we investigate whether evolution exploits this possibility, and we compare different ways to attain desired morphological features alongside preferred behavioral traits. To validate the outcomes, we select a robot with a high fitness and interesting morphology and construct its physical twin. Comparing the simulated and real-world behaviors of the twins, we gain insight into the reality gap.
| Original language | English |
|---|---|
| Title of host publication | GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion |
| Editors | Gabriela Ochoa |
| Publisher | ACM |
| Pages | 183-186 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798400714641 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 Genetic and Evolutionary Computation Conference Companion, GECCO 2025 Companion - Malaga, Spain Duration: 14 Jul 2025 → 18 Jul 2025 |
Conference
| Conference | 2025 Genetic and Evolutionary Computation Conference Companion, GECCO 2025 Companion |
|---|---|
| Country/Territory | Spain |
| City | Malaga |
| Period | 14/07/25 → 18/07/25 |
Bibliographical note
Publisher Copyright:© 2025 Copyright held by the owner/author(s).
Keywords
- environment
- evolutionary robotics
- evolvable morphologies
- generative encoding
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