@inproceedings{1996a44ea3b3461faf4b9e29c8e2364e,
title = "Influencing Emergent Self-Assembled Structures in Robotic Collectives Through Traffic Control",
abstract = "Multiagent self-assembly allows collectives to reach areas otherwise inaccessible to any particular agent. However, the coordination of this collective is not trivial, so each agent's position in the structure is usually determined apriori. In our approach, we take inspiration from army ants and use a simulated model of the Eciton Robotica robot [4] to form emergent structures with bio-inspired local rules. We demonstrate that by coupling this with traffic control, we can induce the formation of a structure and control certain characteristics without pre-computed paths or central coordination.",
keywords = "Bio-Inspired Robotics, Collective Behavior, Self-Assembly, Swarm Robotics",
author = "Everardo Gonzalez and Lucie Houel and Radhika Nagpal and Melinda Malley",
note = "Publisher Copyright: {\textcopyright} 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 ; Conference date: 09-05-2022 Through 13-05-2022",
year = "2022",
language = "English (US)",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "1601--1603",
booktitle = "International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022",
}