In a world where automation is quickly becoming a standard, a significant challenge arises - the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.
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Rathishchandra Gatti - Contributing AuthorDr. Rathishchandra R Gatti is currently working as a Professor & head of the Department of Mechanical Engineering and Robotics and Automation. Prior to this, he has worked as IP Analyst at Curtin University, Perth Australia, NPI program manager at General Electric for Industrial Switchgear Products, Production Engineer at SVE and Rapsri and Design Engineer at Meritor Automotive. He pursued his bachelors in Mechanical Engineering at NITK Suratkal, MBA from IGNOU, PGDGSM from ICFAI and PhD from Curtin University, Perth Australia. He has 4 Patents (1US, 1 Canadian,1 Mexican,1 Indian), 40+ peer-reviewed publications and is the editor of 7 research books and one SCOPUS journal. He has over 20 years of R&D experience in the Mechanical and Mechatronics domains. His research interests include Energy Harvesting, Robotics, Self-Powered CPS, and AI in CPS.
Chandra Singh - Contributing AuthorMr. Chandra Singh is currently working as Assistant Professor at Sahyadri college of Engineering & Management. He has obtained M.Tech in Digital Electronics & Communication from NMAM Institute of Technology Nitte. He has obtained B.E in Electronics & Communication Engineering at Srinivas School of Engineering, Mukka, Mangaluru. He has Co-Authored one textbook entitled "Survivability Techniques in Optical Network" published by Studuim Press. He has published more 15 papers in Scopus & Web of Science Journals.
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