Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments....

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Bibliographic Details
Published in	Cognitive robotics Vol. 3; pp. 54 - 70
Main Authors	Soori, Mohsen, Arezoo, Behrooz, Dastres, Roza
Format	Journal Article
Language	English
Published	Elsevier B.V 01.01.2023 KeAi Communications Co. Ltd
Subjects	Advanced robotics Artificial intelligence Cognitive science Computer Science Deep learning Machine learning Robotics Deep learning Advanced robotics Artificial intelligence Machine learning Artificial intelligence Machine learning Deep learning Advanced robotics
Online Access	Get full text
ISSN	2667-2413 2667-2413
DOI	10.1016/j.cogr.2023.04.001

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Abstract	Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applications of AI, ML, and DL in advanced robotics include autonomous navigation, object recognition and manipulation, natural language processing, and predictive maintenance. These technologies are also being used in the development of collaborative robots (cobots) that can work alongside humans and adapt to changing environments and tasks. The AI, ML, and DL can be used in advanced transportation systems in order to provide safety, efficiency, and convenience to the passengers and transportation companies . Also, the AI, ML, and DL are playing a critical role in the advancement of manufacturing assembly robots, enabling them to work more efficiently, safely, and intelligently. Furthermore, they have a wide range of applications in aviation management, helping airlines to improve efficiency, reduce costs, and improve customer satisfaction. Moreover, the AI, ML, and DL can help taxi companies in order to provide better, more efficient, and safer services to customers. The research presents an overview of current developments in AI, ML, and DL in advanced robotics systems and discusses various applications of the systems in robot modification. Further research works regarding the applications of AI, ML, and DL in advanced robotics systems are also suggested in order to fill the gaps between the existing studies and published papers. By reviewing the applications of AI, ML, and DL in advanced robotics systems, it is possible to investigate and modify the performances of advanced robots in various applications in order to enhance productivity in advanced robotic industries. [Display omitted]
AbstractList	Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applications of AI, ML, and DL in advanced robotics include autonomous navigation, object recognition and manipulation, natural language processing, and predictive maintenance. These technologies are also being used in the development of collaborative robots (cobots) that can work alongside humans and adapt to changing environments and tasks. The AI, ML, and DL can be used in advanced transportation systems in order to provide safety, efficiency, and convenience to the passengers and transportation companies. Also, the AI, ML, and DL are playing a critical role in the advancement of manufacturing assembly robots, enabling them to work more efficiently, safely, and intelligently. Furthermore, they have a wide range of applications in aviation management, helping airlines to improve efficiency, reduce costs, and improve customer satisfaction. Moreover, the AI, ML, and DL can help taxi companies in order to provide better, more efficient, and safer services to customers. The research presents an overview of current developments in AI, ML, and DL in advanced robotics systems and discusses various applications of the systems in robot modification. Further research works regarding the applications of AI, ML, and DL in advanced robotics systems are also suggested in order to fill the gaps between the existing studies and published papers. By reviewing the applications of AI, ML, and DL in advanced robotics systems, it is possible to investigate and modify the performances of advanced robots in various applications in order to enhance productivity in advanced robotic industries. Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applications of AI, ML, and DL in advanced robotics include autonomous navigation, object recognition and manipulation, natural language processing, and predictive maintenance. These technologies are also being used in the development of collaborative robots (cobots) that can work alongside humans and adapt to changing environments and tasks. The AI, ML, and DL can be used in advanced transportation systems in order to provide safety, efficiency, and convenience to the passengers and transportation companies . Also, the AI, ML, and DL are playing a critical role in the advancement of manufacturing assembly robots, enabling them to work more efficiently, safely, and intelligently. Furthermore, they have a wide range of applications in aviation management, helping airlines to improve efficiency, reduce costs, and improve customer satisfaction. Moreover, the AI, ML, and DL can help taxi companies in order to provide better, more efficient, and safer services to customers. The research presents an overview of current developments in AI, ML, and DL in advanced robotics systems and discusses various applications of the systems in robot modification. Further research works regarding the applications of AI, ML, and DL in advanced robotics systems are also suggested in order to fill the gaps between the existing studies and published papers. By reviewing the applications of AI, ML, and DL in advanced robotics systems, it is possible to investigate and modify the performances of advanced robots in various applications in order to enhance productivity in advanced robotic industries. [Display omitted]
Author	Arezoo, Behrooz Dastres, Roza Soori, Mohsen
Author_xml	– sequence: 1 givenname: Mohsen orcidid: 0000-0002-4358-7513 surname: Soori fullname: Soori, Mohsen email: Mohsen.soori@kyrenia.edu.tr organization: Department of Aeronautical Engineering, University of Kyrenia, Kyrenia, North Cyprus, Via Mersin 10, Turkey – sequence: 2 givenname: Behrooz surname: Arezoo fullname: Arezoo, Behrooz organization: CAD/CAPP/CAM Research Center, Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran – sequence: 3 givenname: Roza surname: Dastres fullname: Dastres, Roza organization: Department of Computer Engineering, Cyprus International University, North Cyprus, Via Mersin 10, Turkey
BackLink	https://hal.science/hal-04068480$$DView record in HAL
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ContentType	Journal Article
Copyright	2023 Distributed under a Creative Commons Attribution 4.0 International License
Copyright_xml	– notice: 2023 – notice: Distributed under a Creative Commons Attribution 4.0 International License
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Keywords	Deep learning Advanced robotics Artificial intelligence Machine learning Artificial intelligence Machine learning Deep learning Advanced robotics
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Snippet	Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL...
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SubjectTerms	Advanced robotics Artificial intelligence Cognitive science Computer Science Deep learning Machine learning Robotics
Title	Artificial intelligence, machine learning and deep learning in advanced robotics, a review
URI	https://dx.doi.org/10.1016/j.cogr.2023.04.001 https://hal.science/hal-04068480 https://doaj.org/article/6f717dfeaf374caba8266538020d5430
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