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Ai and Iot-Based Intelligent Automation in Robotics

Inglese · Copertina rigida

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The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are presented, analyzed, and discussed. This book also provides insights on application of robotics in education, healthcare, defense and many other fields which utilize IoT and AI. It also introduces the idea of smart cities using robotics.

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Ashutosh Kumar Dubey received his PhD degree in Computer Science and Engineering from JK Lakshmipat University, Jaipur, Rajasthan, India. He is currently in the Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. His research areas are data mining, optimization, machine learning, cloud computing, artificial intelligence, big data, IoT and object-oriented programming.Abhishek Kumar is a Doctorate in computer science from the University of Madras and more than 50 publications in reputed peer reviewed national and international journals, books & conferences. His research interests include artificial intelligence, image processing, computer vision, data mining, machine learning. S. Rakesh Kumar received his M.E. degree in Computer Science and Engineering from Anna University Chennai in 2016. His main research areas are big data analytics, network security and cloud computing.N. Gayathri received her B. Tech as well as M. Tech. degree in Computer Science and Engineering from Thiagarajar College of Engineering, Madurai, India. Her research interests include cloud computing, big data analytics and network security.Pasenjit Das PhD is an associate professor at Chitkara University, Himachal Pradesh, India. He has 15 + years' experience in industry and academia and his research areas are data mining, machine learning and image processing.


Riassunto

The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are presented, analyzed, and discussed. This book also provides insights on application of robotics in education, healthcare, defense and many other fields which utilize IoT and AI. It also introduces the idea of smart cities using robotics.

Dettagli sul prodotto

Autori Ashutosh Kumar Dubey, Abhishek Kumar, S. Rakesh Kumar, N. Gayathri, Prasenjit Das, Ashutosh Kumar Kumar Dubey, Ashutosh Kuma Dubey, S Rak Kumar, Ak Dubey, Ashutosh Kumar (Jk Lakshmipat University Dubey, ABHISHE KUMAR
Con la collaborazione di Ashutosh Kumar Dubey (Editore), Abhishek Kumar (Editore), S. Rakesh Kumar (Editore), N. Gayathri (Editore), Prasenjit Das (Editore), Kumar Abhishek (Editore), ABHISHE KUMAR (Editore), S Rakesh Kumar et al (Editore)
Editore Wiley, John and Sons Ltd
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 31.12.2020
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
 
EAN 9781119711209
ISBN 978-1-119-71120-9
Numero di pagine 432
 
Categorie Informatik, Künstliche Intelligenz, SPEECH, KI, Robotik, Robotics, Artificial Intelligence, iot, AI, Automation, computer science, Robot, robots, Clipper, RGB, Natural Language Processing, Internet of Things (IoT), Industrial Engineering, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Industrielle Verfahrenstechnik, Allg. Industrielle Verfahrenstechnik, Encryption, multiplexing, emotion recognition, Unmanned Aerial Vehicles (UAVs), Health Monitoring, Human Activities, Quadrature amplitude modulation, amazon alexa, visible light communication, face recognizer, local binary pattern histogram (LBPH), audio watermarking, normalized cross-correlation (NCC), internet of robotic things, FFT transformation, semantic rules, collision free navigation, path planning algorithms, wireless sensor networks (WSNs), fever location framework (FLF), Contactless temperature (CT), thermal sensor (TS), optimal path planning, transfer of skills, open CV, CORDIC-based QR decomposition, strong noise, vehicle locus, fever location camera (FLC), Ad Hoc Network, multi-sensor systems (MSS), Hermitian symmetry, Smart wheelchair, radio frequency identification (RFID) sensors, DCO-OFDM, WIFI sensor, autonomous parking services, facial temperature (FT), peak signal-to-noise ratio (PSNR), facial recognition (FR), personalized attention network (PANet), orthogonal frequency division
 

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