A survey of modern exogenous fault detection and diagnosis methods for swarm robotics-Reference-Cited by-同舟云学术

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A survey of modern exogenous fault detection and diagnosis methods for swarm robotics

Published:2021-01 Issue:1 Volume:33 Page:43-53
ISSN:1018-3639
Container-title:Journal of King Saud University - Engineering Sciences
language:en
Short-container-title:Journal of King Saud University - Engineering Sciences

Author:

Graham Miller Olivier,Gandhi Vaibhav

Publisher

Elsevier BV

Subject

General Engineering

Reference52 articles.

1. Swarm robotics reviewed;Barca;Robotica,2013

2. Bechon, P., Slotine, J.-J., 2012. Synchronization and quorum sensing in a swarm of humanoid robots.

3. Swarm robotics;Ben-Ari;Elem. Robot.,2018

4. Immune-Inspired Fault Diagnosis for a Robotic System;Bi,2012

5. The Diagnostic dendritic cell algorithm for robotic systems;Bi;IEEE Congr. Evol. Comput.,2010

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1. Unsupervised dissimilarity-based fault detection method for autonomous mobile robots;Autonomous Robots;2023-10-28

2. Fault detection and state estimation in robotic automatic control using machine learning;Array;2023-09

3. Trustworthy Swarms;Proceedings of the First International Symposium on Trustworthy Autonomous Systems;2023-07-11

4. Failure-Sentient Composition For Swarm-Based Drone Services;2023 IEEE International Conference on Web Services (ICWS);2023-07

5. Sensor Selection for High-dimensional Swarm Systems Based on Observability Analysis;2023 31st Mediterranean Conference on Control and Automation (MED);2023-06-26

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