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Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot

The inspection and maintenance of drains with varying heights necessitates a drain mapping robot with trained labour to maintain community hygiene and prevent the spread of diseases. For adapting to level changes and navigating in the narrow confined environments of drains, we developed a self-confi...

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Autores principales: Parween, Rizuwana, Muthugala, M. A. Viraj J., Heredia, Manuel V., Elangovan, Karthikeyan, Elara, Mohan Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198317/
https://www.ncbi.nlm.nih.gov/pubmed/34071262
http://dx.doi.org/10.3390/s21113744
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author Parween, Rizuwana
Muthugala, M. A. Viraj J.
Heredia, Manuel V.
Elangovan, Karthikeyan
Elara, Mohan Rajesh
author_facet Parween, Rizuwana
Muthugala, M. A. Viraj J.
Heredia, Manuel V.
Elangovan, Karthikeyan
Elara, Mohan Rajesh
author_sort Parween, Rizuwana
collection PubMed
description The inspection and maintenance of drains with varying heights necessitates a drain mapping robot with trained labour to maintain community hygiene and prevent the spread of diseases. For adapting to level changes and navigating in the narrow confined environments of drains, we developed a self-configurable hybrid robot, named Tarantula-II. The platform is a quadruped robot with hybrid locomotion and the ability to reconfigure to achieve variable height and width. It has four legs, and each leg is made of linear actuators and modular rolling wheel mechanisms with bi-directional movement. The platform has a fuzzy logic system for collision avoidance of the side wall in the drain environment. During level shifting, the platform achieves stability by using the pitch angle as the feedback from the inertial measuring unit (IMU) mounted on the platform. This feedback helps to adjust the accurate height of the platform. In this paper, we describe the detailed mechanical design and system architecture, kinematic models, control architecture, and stability of the platform. We deployed the platform both in a lab setting and in a real-time drain environment to demonstrate the wall collision avoidance, stability, and level shifting capabilities of the platform.
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spelling pubmed-81983172021-06-14 Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot Parween, Rizuwana Muthugala, M. A. Viraj J. Heredia, Manuel V. Elangovan, Karthikeyan Elara, Mohan Rajesh Sensors (Basel) Article The inspection and maintenance of drains with varying heights necessitates a drain mapping robot with trained labour to maintain community hygiene and prevent the spread of diseases. For adapting to level changes and navigating in the narrow confined environments of drains, we developed a self-configurable hybrid robot, named Tarantula-II. The platform is a quadruped robot with hybrid locomotion and the ability to reconfigure to achieve variable height and width. It has four legs, and each leg is made of linear actuators and modular rolling wheel mechanisms with bi-directional movement. The platform has a fuzzy logic system for collision avoidance of the side wall in the drain environment. During level shifting, the platform achieves stability by using the pitch angle as the feedback from the inertial measuring unit (IMU) mounted on the platform. This feedback helps to adjust the accurate height of the platform. In this paper, we describe the detailed mechanical design and system architecture, kinematic models, control architecture, and stability of the platform. We deployed the platform both in a lab setting and in a real-time drain environment to demonstrate the wall collision avoidance, stability, and level shifting capabilities of the platform. MDPI 2021-05-28 /pmc/articles/PMC8198317/ /pubmed/34071262 http://dx.doi.org/10.3390/s21113744 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Parween, Rizuwana
Muthugala, M. A. Viraj J.
Heredia, Manuel V.
Elangovan, Karthikeyan
Elara, Mohan Rajesh
Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
title Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
title_full Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
title_fullStr Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
title_full_unstemmed Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
title_short Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
title_sort collision avoidance and stability study of a self-reconfigurable drainage robot
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198317/
https://www.ncbi.nlm.nih.gov/pubmed/34071262
http://dx.doi.org/10.3390/s21113744
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