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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion |
| Number of pages | 3 |
| Publisher | Association for Computing Machinery |
| Publication date | 2020 |
| Pages | 1389-1391 |
| ISBN (Print) | 978-1-4503-7127-8 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | GECCO 2020: The Genetic and Evolutionary Computation Conference - online, Cancun, Mexico Duration: 8 Jul 2020 → 12 Jul 2020 https://gecco-2020.sigevo.org/index.html/HomePage |
Conference
| Conference | GECCO 2020 |
|---|---|
| Location | online |
| Country/Territory | Mexico |
| City | Cancun |
| Period | 08/07/2020 → 12/07/2020 |
| Internet address |
Keywords
- evolved robots
- modular robot system
- physical implementation
- automatic reconfiguration
- autonomous system