Data Analytics for Smart Robotics and its Applications

By offering a deep dive into the integration of robotics and IoT, this book provides actionable insights for developing autonomous systems that address complex real-world challenges in sectors such as healthcare, agriculture, education, manufacturing, and smart cities. It explores practical applications of the Internet of Robotic Things (IoRT), enabling readers to leverage its transformative potential to create smarter, more efficient environments.

The book introduces a fresh perspective by combining the fields of robotics and IoT into a cohesive framework, underpinned by innovations in edge computing, cloud robotics, and Industry 4.0. Unlike traditional approaches, it emphasizes the convergence of these technologies to foster novel solutions for remote automation and data-driven intelligence.

Covering topics like data management, machine learning, Hadoop, and IoRT applications, this book provides a comprehensive scope that balances theoretical foundations with real-world implementations. It is tailored for academic researchers, practitioners, and educators aiming to stay at the forefront of IoRT innovation and its practical deployment. With its unique approach and broad applicability, this book is an essential guide for exploring cutting-edge IoRT technologies, overcoming integration challenges, and inspiring the development of advanced systems that redefine how technology interacts with the physical world.

Addresses the challenges in designing Smart Robotics-based IoT system using data analysis Focuses on various Data Analytics Techniques in Smart Robotics Provides the methods and tools necessary for intelligent data analysis

Inhalt

Scalable Blockchain and Robotics Technology for a Patient-Centric Next Generation Medical System.- Face Mask Detection using Multimedia Data and Deep Learning Techniques.- Digital Twin Robots for Securing IoT Based Healthcare 4.0 Application: Key Technologies, Integration Trends and Recent Advancement.- Evolution of FinFET SRAM Cells for Smart Robotics: A Comprehensive Review.- Robot Path Planning Using Triangular Inequality.- Smart Factory Architecture, Infrastructure and Design of Manufacturing Systems using Robotics.