Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm
Abstract
When designing swarm-robotic systems, system- atic comparison of algorithms from different do- mains is necessary to determine which is capa- ble of scaling up to handle the target problem size and target operating conditions. We propose a set of quantitative metrics for scalability, flexibility, and emergence which are capable of addressing these needs during the system design process. We demonstrate the applicability of our proposed met- rics as a design tool by solving a large object gath- ering problem in temporally varying operating con- ditions using iterative hypothesis evaluation. We provide experimental results obtained in simulation for swarms of over 10,000 robots.
Cite
Text
Harwell and Gini. "Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/48Markdown
[Harwell and Gini. "Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/harwell2019ijcai-swarm/) doi:10.24963/IJCAI.2019/48BibTeX
@inproceedings{harwell2019ijcai-swarm,
title = {{Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm}},
author = {Harwell, John and Gini, Maria L.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2019},
pages = {336-342},
doi = {10.24963/IJCAI.2019/48},
url = {https://mlanthology.org/ijcai/2019/harwell2019ijcai-swarm/}
}