Abstract
Few evolved robots have been tested outside simulation due to real world experiments being resource and time expensive. In this paper, we discuss different approaches to physically implement evolved robots and propose a modular robot system with external automatic reconfiguration. While the morphological space is reduced, it provides us with a fast, reusable, fully autonomous system to evolve physical robots in reality.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion |
| Antal sider | 3 |
| Forlag | Association for Computing Machinery |
| Publikationsdato | 2020 |
| Sider | 1389-1391 |
| ISBN (Trykt) | 978-1-4503-7127-8 |
| DOI | |
| Status | Udgivet - 2020 |
| Begivenhed | Genetic and Evolutionary Computation Conference - online, VIRTUAL, Mexico Varighed: 8 jul. 2020 → 12 jul. 2020 https://gecco-2020.sigevo.org/index.html/HomePage |
Konference
| Konference | Genetic and Evolutionary Computation Conference |
|---|---|
| Lokation | online |
| Land/Område | Mexico |
| By | VIRTUAL |
| Periode | 08/07/2020 → 12/07/2020 |
| Internetadresse |
Emneord
- evolved robots
- modular robot system
- physical implementation
- automatic reconfiguration
- autonomous system
Fingeraftryk
Dyk ned i forskningsemnerne om 'Reusability vs Morphological Space in Physical Robot Evolution'. Sammen danner de et unikt fingeraftryk.Citationsformater
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
