Advances in Computational Vision and Robotics (eBook)

Proceedings of the International Conference on Computational Vision and Robotics - ICCVR-2024
Artikelnummer: 978-3-031-85952-6
Einband: PDF
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This book highlights the transformative impact of these technologies in shaping the future of automation and intelligent systems. By integrating computational vision and robotics into various sectors, these advancements enable smarter decision-making, seamless human-machine interactions, and enhanced efficiency in dynamic environments. Future applications include autonomous systems in transportation, intelligent surveillance, and robotic healthcare solutions, creating more responsive and adaptive systems that align with the evolving needs of society. This book provides an insight into the latest innovations and state-of-the-art research in the fields of computational vision and robotics, showcasing their potential to revolutionize industries such as manufacturing, agriculture, logistics, and disaster management. It spans a diverse array of topics, including:

  • Computational vision and AI applications.
  • Advanced image processing and recognition techniques.
  • Intelligent systems and interaction.

By merging cutting-edge theoretical insights with practical applications, this book provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of computational vision and robotics. Computational vision and robotics highlighted the transformative potential of computational vision and robotics in revolutionizing industries and enhancing quality of life. These technologies drive efficiency and precision through automation and intelligent systems, reshaping sectors such as manufacturing, logistics, and agriculture. In healthcare, computational vision powers advanced diagnostic tools and surgical robotics, while robotics fosters personalized assistance and rehabilitation solutions. Additionally, the integration of these technologies in smart cities and innovative infrastructures offers smarter, safer, and more sustainable urban living environments.


accessibilitysupport@springernature.com

This book highlights the transformative impact of these technologies in shaping the future of automation and intelligent systems. By integrating computational vision and robotics into various sectors, these advancements enable smarter decision-making, seamless human-machine interactions, and enhanced efficiency in dynamic environments. Future applications include autonomous systems in transportation, intelligent surveillance, and robotic healthcare solutions, creating more responsive and adaptive systems that align with the evolving needs of society. This book provides an insight into the latest innovations and state-of-the-art research in the fields of computational vision and robotics, showcasing their potential to revolutionize industries such as manufacturing, agriculture, logistics, and disaster management. It spans a diverse array of topics, including:

  • Computational vision and AI applications.
  • Advanced image processing and recognition techniques.
  • Intelligent systems and interaction.

By merging cutting-edge theoretical insights with practical applications, this book provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of computational vision and robotics. Computational vision and robotics highlighted the transformative potential of computational vision and robotics in revolutionizing industries and enhancing quality of life. These technologies drive efficiency and precision through automation and intelligent systems, reshaping sectors such as manufacturing, logistics, and agriculture. In healthcare, computational vision powers advanced diagnostic tools and surgical robotics, while robotics fosters personalized assistance and rehabilitation solutions. Additionally, the integration of these technologies in smart cities and innovative infrastructures offers smarter, safer, and more sustainable urban living environments.


accessibilitysupport@springernature.com
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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2025
Seitenangabe626 S.
AusgabekennzeichenEnglisch
AbbildungenXXIV, 626 p. 280 illus., 215 illus. in color.
Masse67'394 KB
PlattformPDF
ReiheLearning and Analytics in Intelligent Systems; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorTsihrintzis, George A. (Hrsg.) / Favorskaya, Margarita N. (Hrsg.) / Kountcheva, Roumiana (Hrsg.) / Patnaik, Srikanta (Hrsg.)

Alle Bände der Reihe "Learning and Analytics in Intelligent Systems; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor George A. (Hrsg.) Tsihrintzis

George A. Tsihrintzis received (with honors) the Diploma of ECE from the National Technical University of Athens, Greece, and the M.Sc. and Ph.D. degrees in ECE from Northeastern University, Boston, USA. He is currently a Professor in the University of Piraeus, Greece and has served as Director of the Graduate Program of Study in "Advanced Computing and Informatics Systems" (2008-2022), Head of the Department of Informatics (2016-2020) and Member of the Administration Council of the University of Piraeus (2012-2016 and 2022-2026). He has (co-)authored over 400 research publications which have appeared in international journals, book chapters, and conference proceedings. He has organized and chaired over 45 international conferences, has received best paper awards from several international conferences, and has been a keynote speaker of several international conferences. He is ranked among the top 2% of the most influential scientists worldwide of Scientists List at Stanford University ranking in ARTIFICIAL INTELLIGENCE, both career-wise and single year, for 2023 and 2024. Maria Virvou is Dean of the School of Information and Communication Technologies at the University of Piraeus, Greece, and Professor in its Department of Informatics. She is Founder and Director of the Graduate Program in "Informatics" and Director of its Software Technology Research Laboratory. She is co-founder and co-editor-in-chief of the Springer book series "Learning and Analytics in Intelligent Systems" and "Artificial Intelligence-Enhanced Software and Systems Engineering" and co-founder and co-chair of the IEEE Information, Intelligence, Systems and Applications (IISA) International Conference annual series. She previously served as an editor-in-chief of SpringerPlus (Springer) and currently serves as an associate editor of Knowledge-Based Systems (Elsevier). She is consistently ranked among the top 2% of researchers worldwide with the highest scientific impact, according to the global academic ranking by Stanford University, particularly in the field of Artificial Intelligence. Vangelis Marinakis is Assistant Professor in the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). He is an Electrical and Computer Engineer of NTUA and holds a PhD in the research domain of decision support systems for sustainable energy planning. His research is focused on the design and development of methodologies and decision support systems, using leading-edge ICTs technologies (Internet of things, artificial intelligence, big data technologies) for intelligent energy management at different levels (smart homes, smart buildings, smart cities, smart districts), as well as increased energy efficiency gains and renewables. In the above-mentioned fields, Dr. Marinakis has worked on more than 25 European and national co-funded projects. Lakmhi C. Jain, PhD, ME, BE(Hons), Fellow (Engineers Australia) is with KES International, Shoreham-by-Sea, UK. Professor Jain's career is characterized by his solid commitment to research, education, and mentorship, as he has been a distinguished professor at numerous universities. His research works encompass automated information system design; modeling, design, and implementation of knowledge-based intelligent information systems; intelligent agent learning, coordination, collaboration, and Web-based agents. He has (co-)authored or (co-)edited more than 500 volumes. He is co-founder and co-editor-in-chief of several scientific journals and series.

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