@inproceedings{dd8285c687d54bdb86d1d97eb846d6b5,
title = "Applying scale-invariant dynamics to improve consensus achievement of agents in motion",
abstract = "In order to efficiently execute tasks, autonomous collective systems are required to rapidly reach accurate consensus, no matter how the group is distributed over the environment. Finding consensus in a group of agents that are in motion is a particularly great challenge, especially at larger scales and extensive environments. Nevertheless, numerous collective systems in nature reach consensus independently of scale, i.e. they are scale-free or scale-invariant. Inspired by these natural phenomena, the aim of our work is to improve consensus achievement in artificial systems by finding fundamental links between individual decision-making and scale-free collective behavior. For model validation we use physics-based simulations as well as a swarm robotic testbed.",
keywords = "Consensus achievement, Scale invariance, Swarm robotics",
author = "Ilja Rausch and Yara Khaluf and Pieter Simoens",
year = "2019",
doi = "10.1007/978-3-319-99608-0\_42",
language = "English",
isbn = "9783319996073",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "344--348",
editor = "Sara Rodr{\'i}guez and Javier Prieto and Pedro Faria and Slawomir Klos and Alberto Fern{\'a}ndez and Santiago Mazuelas and Jim{\'e}nez-L{\'o}pez, \{M. Dolores\} and Moreno, \{Mar{\'i}a N.\} and Navarro, \{Elena M.\}",
booktitle = "Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference",
address = "Germany",
note = "15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018 ; Conference date: 20-06-2018 Through 22-06-2018",
}