Inbunden, Engelska, 2027

Next-Generation Intelligent Systems

Robotics, Internet of Things, and Smart Manufacturing

Av Arunkumar M Bongale, Anwar P.P. Abdul Majeed, Manoj Kumar Shukla, Javed Sayyad

2084 kr

Kommande

Beskrivning

This book showcases how robots are becoming smarter and more capable of working alongside humans. It covers exciting developments in self-driving cars, robotic assistants, and industrial automation, showing how artificial intelligence is transforming industries like healthcare, manufacturing, and transportation.• Provides a thorough exploration of intelligent robotics, covering fundamental principles like kinematics, dynamics, and control systems, alongside artificial intelligence-driven advancements such as machine learning, deep learning, and reinforcement learning.• Includes detailed case studies demonstrating how artificial intelligence-driven robots enhance efficiency, automation, and human-robot collaboration across various industries, bridging research with practical implementation.• Explores real-world applications of intelligent robotics in healthcare (robot-assisted surgery, rehabilitation robots), autonomous vehicles, smart manufacturing, and service robotics.• Bridges traditional robotics with modern artificial intelligence techniques, equipping readers with the knowledge to develop adaptive and autonomous robotic systems.• Covers robotic software tools such as ROS (Robot Operating System), simulation platforms, and real-world datasets, enabling researchers and professionals to develop, test, and deploy intelligent robotic systems effectively.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, robotics, autonomous systems, mechanical engineering, artificial intelligence, and machine learning.

Produktinformation

Utgivningsdatum: 2027-04-14
Mått: 156 x 234 x undefined mm
Format: Inbunden
Språk: Engelska
Antal sidor: 392
Förlag: Taylor & Francis Ltd
ISBN: 9781041346180

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Mer om författaren

Arunkumar M. Bongale is Professor and Head of the Department of Robotics & Automation at Symbiosis Institute of Technology, Pune, India. With an M. Tech and PhD in Mechanical Engineering, he brings over eighteen years of experience in robotics, smart manufacturing, materials engineering, sensors, mobile robots, ROS, navigation, and SLAM. He has authored over 65 research papers and holds three patents.Anwar P.P. Abdul Majeed is an Associate Professor at the School of Engineering and Technology with experience in transnational education. He is a Chartered Engineer with IMechE, a member of IET, and a Senior Member of IEEE. With over 200 publications and editorial roles in prestigious journals and book series, he is committed to advancing knowledge in the application of machine learning and deep learning in different domains. He is also actively engaged in professional societies, alumni networks and contributes to the scientific community through his involvement in the Young Scientists Network of the Academy of Sciences Malaysia.Manoj Kumar Shukla is currently working as an Assistant Professor at Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed) University, Pune, India. He completed M. Tech and PhD in Electrical Engineering from the National Institute of Technology, Hamirpur (Himachal Pradesh), India. His research interests mainly include control systems, robotics, artificial intelligence, smart sensors and automation. He has 10 years of teaching and research experience. He has published research papers in various reputed journals and conferences.Javed Sayyad is an Assistant Professor in the Department of Robotics and Automation Engineering at Symbiosis Institute of Technology (SIT), Pune, India. With over 10 years of experience in electrical engineering, his research focuses on Solar Energy, Control Systems of Robotics, AI/ML, IoT, and Embedded Systems. He has published 40 papers and holds three patents. His expertise includes sensor integration, data analysis, and microcontroller-based system design.

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