@inproceedings{7632da6243c04499b29d6130587b9fbc,
title = "Collective self-detection scheme for adaptive error detection in a foraging swarm of robots",
abstract = "In this paper we present a collective detection scheme using receptor density algorithm to self-detect certain types of failure in swarm robotic systems. Key to any fault-tolerant system, is its ability to be robust to failure and have appropriate mechanisms to cope with a variety of such failures. In this work we present an error detection scheme based on T-cell signalling in which robots in a swarm collaborate by exchanging information with respect to performance on a given task, and self-detect errors within an individual. While this study is focused on deployment in a swarm robotic context, it is possible that our approach could possibly be generalized to a wider variety of multi-agent systems.",
keywords = "collective detection scheme, error detection, receptor density algorithm, self-detection, swarm robotics",
author = "Lau, {Hui Keng} and Jon Timmis and Iain Bate",
year = "2011",
doi = "10.1007/978-3-642-22371-6_23",
language = "English",
isbn = "9783642223709",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "254--267",
booktitle = "Artificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings",
address = "Switzerland",
note = "10th International Conference on Artificial Immune Systems, ICARIS 2011 ; Conference date: 18-07-2011 Through 21-07-2011",
}