research-article

A hybrid approach for fault detection in autonomous physical agents

Authors:

Eliahu Khalastchi,

Lior RokachAuthors Info & Claims

AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

Pages 941 - 948

Published: 05 May 2014 Publication History

Abstract

One of the challenges of fault detection in the domain of autonomous physical agents (or Robots) is the handling of unclassified data, meaning, most data sets are not recognized as normal or faulty. This fact makes it very challenging to use collected data as a training set such that learning algorithms would produce a successful fault detection model. Traditionally unsupervised algorithms try to address this challenge. In this paper we present a hybrid approach that combines unsupervised and supervised methods. An unsupervised approach is utilized for classifying a training set, and then by a standard supervised algorithm we build a fault detection model that is much more accurate than the original unsupervised approach. We show promising results on simulated and real world domains.

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Cited By

Khalastchi EKalech MRokach L(2017)A hybrid approach for improving unsupervised fault detection for robotic systemsExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.03.05881:C(372-383)Online publication date: 15-Sep-2017
https://dl.acm.org/doi/10.1016/j.eswa.2017.03.058
Soriano Marcolino LLakshminarayanan ANagarajan VTambe M(2017)Every team deserves a second chanceAutonomous Agents and Multi-Agent Systems10.1007/s10458-016-9348-231:5(1003-1054)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s10458-016-9348-2
Soriano Marcolino LNagarajan VTambe MWeiss GYolum PBordini RElkind E(2015)Every Team Deserves a Second ChanceProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773499(1909-1910)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.5555/2772879.2773499
Show More Cited By

Index Terms

A hybrid approach for fault detection in autonomous physical agents
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Robotic planning
    2. Planning and scheduling
      1. Robotic planning

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Information & Contributors

Information

Published In

cover image ACM Other conferences

AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

May 2014

1774 pages

ISBN:9781450327381

General Chairs:
Ana Bazzan
UFRGS, Brazil
,
Michael Huhns
University of South Carolina, USA
,
Program Chairs:
Alessio Lomuscio
Imperial College London, UK
,
Paul Scerri
Carnegie Mellon University, USA

Sponsors

IFAAMAS

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 05 May 2014

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AAMAS '14

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AAMAS '14: International conference on Autonomous Agents and Multi-Agent Systems

May 5 - 9, 2014

Paris, France

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AAMAS '14 Paper Acceptance Rate 169 of 709 submissions, 24%;

Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

Khalastchi EKalech MRokach L(2017)A hybrid approach for improving unsupervised fault detection for robotic systemsExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.03.05881:C(372-383)Online publication date: 15-Sep-2017
https://dl.acm.org/doi/10.1016/j.eswa.2017.03.058
Soriano Marcolino LLakshminarayanan ANagarajan VTambe M(2017)Every team deserves a second chanceAutonomous Agents and Multi-Agent Systems10.1007/s10458-016-9348-231:5(1003-1054)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s10458-016-9348-2
Soriano Marcolino LNagarajan VTambe MWeiss GYolum PBordini RElkind E(2015)Every Team Deserves a Second ChanceProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773499(1909-1910)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.5555/2772879.2773499
Nagarajan VSoriano Marcolino LTambe MWeiss GYolum PBordini RElkind E(2015)Every Team Deserves a Second ChanceProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773243(695-703)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.5555/2772879.2773243

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