Modular Robots for Enabling Operations in Unstructured Extreme Environments
Operations in extreme and hostile environments, such as offshore oil and gas production, nuclear decommissioning, nuclear facility maintenance, deep mining, space exploration, and subsea applications, require the execution of sophisticated tasks. In nuclear environments, robotic systems have advance...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-05-01
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Series: | Advanced Intelligent Systems |
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Online Access: | https://doi.org/10.1002/aisy.202000227 |
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author | Mohammed E. Sayed Jamie O. Roberts Karen Donaldson Stephen T. Mahon Faiz Iqbal Boyang Li Santiago Franco Aixela Georgios Mastorakis Emil T. Jonasson Markus P. Nemitz Sara Bernardini Adam A. Stokes |
author_facet | Mohammed E. Sayed Jamie O. Roberts Karen Donaldson Stephen T. Mahon Faiz Iqbal Boyang Li Santiago Franco Aixela Georgios Mastorakis Emil T. Jonasson Markus P. Nemitz Sara Bernardini Adam A. Stokes |
author_sort | Mohammed E. Sayed |
collection | DOAJ |
description | Operations in extreme and hostile environments, such as offshore oil and gas production, nuclear decommissioning, nuclear facility maintenance, deep mining, space exploration, and subsea applications, require the execution of sophisticated tasks. In nuclear environments, robotic systems have advanced significantly over the past years but still suffer from task failures caused by informational and physical uncertainty of the highly unstructured nature of the environment and exasperated by the time constraints imposed by high radiation levels. Herein, a survey is presented of current robotic systems that can operate in such extreme environments and offer a novel approach to solving the challenges they impose, encapsulated by the mission statement of providing structure in unstructured environments and exemplified by a new self‐assembling modular robotic system, the Connect‐R. |
first_indexed | 2024-12-12T05:34:17Z |
format | Article |
id | doaj.art-745d527e843e4315bed9b69df206760c |
institution | Directory Open Access Journal |
issn | 2640-4567 |
language | English |
last_indexed | 2024-12-12T05:34:17Z |
publishDate | 2022-05-01 |
publisher | Wiley |
record_format | Article |
series | Advanced Intelligent Systems |
spelling | doaj.art-745d527e843e4315bed9b69df206760c2022-12-22T00:36:12ZengWileyAdvanced Intelligent Systems2640-45672022-05-0145n/an/a10.1002/aisy.202000227Modular Robots for Enabling Operations in Unstructured Extreme EnvironmentsMohammed E. Sayed0Jamie O. Roberts1Karen Donaldson2Stephen T. Mahon3Faiz Iqbal4Boyang Li5Santiago Franco Aixela6Georgios Mastorakis7Emil T. Jonasson8Markus P. Nemitz9Sara Bernardini10Adam A. Stokes11School of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh, Scottish Microelectronics Centre Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh, Scottish Microelectronics Centre Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh, Scottish Microelectronics Centre Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh, Scottish Microelectronics Centre Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh, Scottish Microelectronics Centre Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh, Scottish Microelectronics Centre Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKDepartment of Computer Science Royal Holloway, University of London Egham TW20 0EX UKDepartment of Computer Science Royal Holloway, University of London Egham TW20 0EX UKRACE (Remote Applications in Challenging Environments) United Kingdom Atomic Energy Authority Culham Science Centre Abingdon OX14 3DB UKDepartment of Chemistry and Chemical Biology Harvard University 12 Oxford Street Cambridge MA 02138 USADepartment of Computer Science Royal Holloway, University of London Egham TW20 0EX UKSchool of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh, Scottish Microelectronics Centre Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKOperations in extreme and hostile environments, such as offshore oil and gas production, nuclear decommissioning, nuclear facility maintenance, deep mining, space exploration, and subsea applications, require the execution of sophisticated tasks. In nuclear environments, robotic systems have advanced significantly over the past years but still suffer from task failures caused by informational and physical uncertainty of the highly unstructured nature of the environment and exasperated by the time constraints imposed by high radiation levels. Herein, a survey is presented of current robotic systems that can operate in such extreme environments and offer a novel approach to solving the challenges they impose, encapsulated by the mission statement of providing structure in unstructured environments and exemplified by a new self‐assembling modular robotic system, the Connect‐R.https://doi.org/10.1002/aisy.202000227connect-Rextreme environmentsindustrial robotsmodular systemsnuclear decommissioningscaffolding systems |
spellingShingle | Mohammed E. Sayed Jamie O. Roberts Karen Donaldson Stephen T. Mahon Faiz Iqbal Boyang Li Santiago Franco Aixela Georgios Mastorakis Emil T. Jonasson Markus P. Nemitz Sara Bernardini Adam A. Stokes Modular Robots for Enabling Operations in Unstructured Extreme Environments Advanced Intelligent Systems connect-R extreme environments industrial robots modular systems nuclear decommissioning scaffolding systems |
title | Modular Robots for Enabling Operations in Unstructured Extreme Environments |
title_full | Modular Robots for Enabling Operations in Unstructured Extreme Environments |
title_fullStr | Modular Robots for Enabling Operations in Unstructured Extreme Environments |
title_full_unstemmed | Modular Robots for Enabling Operations in Unstructured Extreme Environments |
title_short | Modular Robots for Enabling Operations in Unstructured Extreme Environments |
title_sort | modular robots for enabling operations in unstructured extreme environments |
topic | connect-R extreme environments industrial robots modular systems nuclear decommissioning scaffolding systems |
url | https://doi.org/10.1002/aisy.202000227 |
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