Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot

In the construction field, when an excavator dismantles a building using an attachment, a large amount of fine dust is generated, causing air pollution. In this study, a mist-spraying robot was proposed, aiming to effectively suppress the generation of fine dust in the construction field. The robot...

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Main Authors: Sangwoong Lee, Hyunbin Park, Baeksuk Chu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9913467/
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author Sangwoong Lee
Hyunbin Park
Baeksuk Chu
author_facet Sangwoong Lee
Hyunbin Park
Baeksuk Chu
author_sort Sangwoong Lee
collection DOAJ
description In the construction field, when an excavator dismantles a building using an attachment, a large amount of fine dust is generated, causing air pollution. In this study, a mist-spraying robot was proposed, aiming to effectively suppress the generation of fine dust in the construction field. The robot could spray mist while motion tracking the attachment of the excavator. The mist-spraying robot recognized and tracked the source of the fine dust by estimating the posture and position of the excavator. Forward kinematics was used to estimate the posture of the excavator, and the position was estimated using a real-time kinematic global positioning system (RTK-GPS). The fine dust source motion tracking control performance of the mist-spraying robot was verified by measuring the error when the excavator attachment moved horizontally, vertically, and helically. The mean distance between the spraying direction of the mist-spraying robot and the attachment of the excavator was within 0.4 m. Considering the range in which mist is ordinarily sprayed, this mist-spraying robot is expected to successfully track and suppress the generation of fine dust.
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spelling doaj.art-4de45da024d1421a9444a3ecb9902a392022-12-22T03:32:50ZengIEEEIEEE Access2169-35362022-01-011010794910796010.1109/ACCESS.2022.32127329913467Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying RobotSangwoong Lee0https://orcid.org/0000-0002-7106-0882Hyunbin Park1https://orcid.org/0000-0003-4288-6121Baeksuk Chu2https://orcid.org/0000-0002-3253-1506Korea Institute of Robotics and Technology Convergence, Pohang, South KoreaDepartment of Aeronautics, Mechanical and Electronic Convergence Engineering, Graduate School, Kumoh National Institute of Technology, Gumi, South KoreaDepartment of Mechanical System Engineering, Kumoh National Institute of Technology, Gumi, South KoreaIn the construction field, when an excavator dismantles a building using an attachment, a large amount of fine dust is generated, causing air pollution. In this study, a mist-spraying robot was proposed, aiming to effectively suppress the generation of fine dust in the construction field. The robot could spray mist while motion tracking the attachment of the excavator. The mist-spraying robot recognized and tracked the source of the fine dust by estimating the posture and position of the excavator. Forward kinematics was used to estimate the posture of the excavator, and the position was estimated using a real-time kinematic global positioning system (RTK-GPS). The fine dust source motion tracking control performance of the mist-spraying robot was verified by measuring the error when the excavator attachment moved horizontally, vertically, and helically. The mean distance between the spraying direction of the mist-spraying robot and the attachment of the excavator was within 0.4 m. Considering the range in which mist is ordinarily sprayed, this mist-spraying robot is expected to successfully track and suppress the generation of fine dust.https://ieeexplore.ieee.org/document/9913467/Kinematicsmist-spraying robotsensor networkautonomous position trackingexcavator
spellingShingle Sangwoong Lee
Hyunbin Park
Baeksuk Chu
Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot
IEEE Access
Kinematics
mist-spraying robot
sensor network
autonomous position tracking
excavator
title Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot
title_full Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot
title_fullStr Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot
title_full_unstemmed Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot
title_short Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot
title_sort excavator posture estimation and position tracking system based on kinematics and sensor network to control mist spraying robot
topic Kinematics
mist-spraying robot
sensor network
autonomous position tracking
excavator
url https://ieeexplore.ieee.org/document/9913467/
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AT hyunbinpark excavatorpostureestimationandpositiontrackingsystembasedonkinematicsandsensornetworktocontrolmistsprayingrobot
AT baeksukchu excavatorpostureestimationandpositiontrackingsystembasedonkinematicsandsensornetworktocontrolmistsprayingrobot