Decentralized Cooperative Localization with Fault Detection and Isolation in Robot Teams

Robot localization, particularly multirobot localization, is an important task for multirobot teams. In this paper, a decentralized cooperative localization (DCL) algorithm with fault detection and isolation is proposed to estimate the positions of robots in mobile robot teams. To calculate the inte...

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Main Authors: Mei Wu, Hongbin Ma, Xinghong Zhang
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/10/3360
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author Mei Wu
Hongbin Ma
Xinghong Zhang
author_facet Mei Wu
Hongbin Ma
Xinghong Zhang
author_sort Mei Wu
collection DOAJ
description Robot localization, particularly multirobot localization, is an important task for multirobot teams. In this paper, a decentralized cooperative localization (DCL) algorithm with fault detection and isolation is proposed to estimate the positions of robots in mobile robot teams. To calculate the interestimate correlations in a distributed manner, the split covariance intersection filter (SCIF) is applied in the algorithm. Based on the split covariance intersection filter cooperative localization (SCIFCL) algorithm, we adopt fault detection and isolation (FDI) to improve the robustness and accuracy of the DCL results. In the proposed algorithm, the signature matrix of the original FDI algorithm is modified for application to DCL. A simulation-based comparative study is conducted to demonstrate the effectiveness of the proposed algorithm.
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spelling doaj.art-1f51cf434f174d9cb286bd9e78a6b2ae2022-12-22T02:57:16ZengMDPI AGSensors1424-82202018-10-011810336010.3390/s18103360s18103360Decentralized Cooperative Localization with Fault Detection and Isolation in Robot TeamsMei Wu0Hongbin Ma1Xinghong Zhang2State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing 100081, ChinaState Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing 100081, ChinaDepartment of Automatic Control, Henan Institute of Technology, Xinxiang 453000, ChinaRobot localization, particularly multirobot localization, is an important task for multirobot teams. In this paper, a decentralized cooperative localization (DCL) algorithm with fault detection and isolation is proposed to estimate the positions of robots in mobile robot teams. To calculate the interestimate correlations in a distributed manner, the split covariance intersection filter (SCIF) is applied in the algorithm. Based on the split covariance intersection filter cooperative localization (SCIFCL) algorithm, we adopt fault detection and isolation (FDI) to improve the robustness and accuracy of the DCL results. In the proposed algorithm, the signature matrix of the original FDI algorithm is modified for application to DCL. A simulation-based comparative study is conducted to demonstrate the effectiveness of the proposed algorithm.http://www.mdpi.com/1424-8220/18/10/3360robot localizationmobile robotdistributed cooperative localizationfault detection and isolation
spellingShingle Mei Wu
Hongbin Ma
Xinghong Zhang
Decentralized Cooperative Localization with Fault Detection and Isolation in Robot Teams
Sensors
robot localization
mobile robot
distributed cooperative localization
fault detection and isolation
title Decentralized Cooperative Localization with Fault Detection and Isolation in Robot Teams
title_full Decentralized Cooperative Localization with Fault Detection and Isolation in Robot Teams
title_fullStr Decentralized Cooperative Localization with Fault Detection and Isolation in Robot Teams
title_full_unstemmed Decentralized Cooperative Localization with Fault Detection and Isolation in Robot Teams
title_short Decentralized Cooperative Localization with Fault Detection and Isolation in Robot Teams
title_sort decentralized cooperative localization with fault detection and isolation in robot teams
topic robot localization
mobile robot
distributed cooperative localization
fault detection and isolation
url http://www.mdpi.com/1424-8220/18/10/3360
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AT hongbinma decentralizedcooperativelocalizationwithfaultdetectionandisolationinrobotteams
AT xinghongzhang decentralizedcooperativelocalizationwithfaultdetectionandisolationinrobotteams