Collective self-detection scheme for adaptive error detection in a foraging swarm of robots

Lau, Hui Keng and Timmis, Jon I. and Bate, Lain J. (2011) Collective self-detection scheme for adaptive error detection in a foraging swarm of robots. In: 10th International Conference on Artificial Immune Systems, ICARIS 2011, 18-21 July 2011, Cambridge, UK..

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: ?? TJ210.2-211.47 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 05 Oct 2012 09:01
Last Modified: 08 Sep 2014 08:18
URI: http://eprints.ums.edu.my/id/eprint/5045

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