Implementing Cloud Robotics for Practical Applications
Implementing Cloud Robotics for Practical Applications

Author: Ricardo C. Mello

Publisher: Springer Nature

Published: 2022-10-19

Total Pages: 110

ISBN-13: 3031169085

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This book explores cloud robotics by casting a light on key issues and proposing a novel approach towards implementation and practical aspects to allow for the widespread adoption of cloud-based functionality. The advent of cloud robotics can to unleash a new generation of smart robotic devices by allowing robots to explore cloud computing capabilities to share data and to offload heavy processing applications. Cloud robotics is investigated as an enabler to a series of applications and devices, questioning how the insertion of network and cloud technologies into such systems might affect the interaction between a robot and the human operating it, and what are the limiting requirements for cloud-based solutions. Aiming at researchers and practitioners, this book also presents a methodology based on open-source software and commercial off-the-shelf devices to provide a common standard for reproducing and benchmarking different cloud robotics systems.

Mastering AI and Cloud Robotics
Mastering AI and Cloud Robotics

Author: Shakil Akhtar

Publisher: BPB Publications

Published: 2024-10-29

Total Pages: 446

ISBN-13: 936589705X

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DESCRIPTION This book teaches theory and coding examples to help readers design AI-powered cloud robotics applications. AI and robotics engineers will learn to build scalable systems, apply various methods for monitoring and prediction, and optimize systems to reduce costs and increase performance using the architectural techniques described. This book offers a detailed look into cloud robotics, starting with cloud computing basics and moving into its applications in robotics. It highlights the role of AI, ML, and computer vision in advancing robotic capabilities. This book also covers cloud robotics infrastructure, focusing on communication protocols and the ROS2 framework. Further, you will learn about building cloud-enabled robots and using AWS for AI and robotics. It addresses data privacy and security, concluding with real-world applications across various industries and insights into the future of cloud robotics. This book equips you with the foundational knowledge and practical skills to leverage the power of cloud computing to enhance the capabilities of robotic systems. You will gain the ability to design, develop, deploy, and manage cloud-enabled robots, pushing the boundaries of automation and innovation across various industries. KEY FEATURES ● Learn the basics of cloud computing and advanced AI techniques for cloud robotics applications. ● Gain hands-on experience through practical exercises and examples to strengthen your understanding of applications in cloud robotics. ● Outline the steps to develop a cloud robotic application using ROS and AWS. WHAT YOU WILL LEARN ● Understand cloud computing concepts, including service models, deployment models, and security. ● Explore cloud robotics history, benefits, and AI integration in robotic systems. ● Learn AI algorithms, ML, and deep learning for robotics applications. ● Gain skills in computer vision, object detection, and enhancing robot perception using AI. ● Master Robot Operating System 2 (ROS2) architecture and build cloud-enabled robots with hands-on experience. WHO THIS BOOK IS FOR The primary audience of this book is robotics engineers, AI engineers, and software developers with a basic understanding of robotics and cloud computing or no prior experience of the subject. This book contains practical code samples in Python and assumes that the reader has a fundamental understanding of Python programming. TABLE OF CONTENTS 1. Fundamentals of Cloud Computing 2. Introduction to Cloud Robotics 3. Artificial Intelligence in Cloud Robotics 4. Artificial Intelligence and Robot Perception 5. Cloud Robotics Connectivity 6. Communications and Processing in Cloud Robotics 7. Robot Operating System 2 8. Building a Cloud-enabled Robot 9. AI and Robotics Using AWS 10. Security in Cloud Robotics 11. Real-world Cloud Robotics Applications 12. Conclusion and Future Directions

Shaping the Future of Automation With Cloud-Enhanced Robotics
Shaping the Future of Automation With Cloud-Enhanced Robotics

Author: Gatti, Rathishchandra Ramachandra

Publisher: IGI Global

Published: 2024-04-26

Total Pages: 457

ISBN-13:

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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.

Design and Control Advances in Robotics
Design and Control Advances in Robotics

Author: Mellal, Mohamed Arezk

Publisher: IGI Global

Published: 2022-09-16

Total Pages: 406

ISBN-13: 1668453835

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Robotics plays a pivotal role in many domains such as industry and medicine. Robots allow for increased safety, production rates, accuracy, and quality; however, robots must be well designed and controlled to achieve the required performance. The design and control of robotics involve many varying disciplines, such as mechanical engineering, electronics, and automation, and must be further studied to ensure the technology is utilized appropriately. Design and Control Advances in Robotics considers the most recent applications and design advances in robotics and highlights the latest developments and applications within the field of robotics. Covering key topics such as deep learning, machine learning, programming, automation, and control advances, this reference work is ideal for engineers, computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.

Robotic Systems: Concepts, Methodologies, Tools, and Applications
Robotic Systems: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2020-01-03

Total Pages: 2075

ISBN-13: 1799817555

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Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medicine, social services, and agriculture. Continued research on robotic design is critical to solving various dynamic obstacles individuals, enterprises, and humanity at large face on a daily basis. Robotic Systems: Concepts, Methodologies, Tools, and Applications is a vital reference source that delves into the current issues, methodologies, and trends relating to advanced robotic technology in the modern world. Highlighting a range of topics such as mechatronics, cybernetics, and human-computer interaction, this multi-volume book is ideally designed for robotics engineers, mechanical engineers, robotics technicians, operators, software engineers, designers, programmers, industry professionals, researchers, students, academicians, and computer practitioners seeking current research on developing innovative ideas for intelligent and autonomous robotics systems.

Robots and Sensor Clouds
Robots and Sensor Clouds

Author: Anis Koubaa

Publisher: Springer

Published: 2015-08-17

Total Pages: 97

ISBN-13: 331922168X

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This book comprises four chapters that address some of the latest research in clouds robotics and sensor clouds. The first part of the book includes two chapters on cloud robotics. The first chapter introduces a novel resource allocation framework for cloud robotics and proposes a Stackelberg game model and the corresponding task oriented pricing mechanism for resource allocation. In the second chapter, the authors apply Cloud Computing for building a Cloud-Based 3D Point Cloud extractor for stereo images. Their objective is to have a dynamically scalable and applicable to near real-time scenarios.

Learning for Adaptive and Reactive Robot Control
Learning for Adaptive and Reactive Robot Control

Author: Aude Billard

Publisher: MIT Press

Published: 2022-02-08

Total Pages: 425

ISBN-13: 0262367017

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Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Soft Computing for Security Applications
Soft Computing for Security Applications

Author: G. Ranganathan

Publisher: Springer Nature

Published: 2022-09-29

Total Pages: 754

ISBN-13: 9811935904

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This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.

Cloud-Based Cyber-Physical Systems in Manufacturing
Cloud-Based Cyber-Physical Systems in Manufacturing

Author: Lihui Wang

Publisher: Springer

Published: 2017-11-16

Total Pages: 406

ISBN-13: 3319676938

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This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It presents a range of novel ideas and is characterized by a balanced approach in terms of scope vs. depth and theory vs. applications. It also takes into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Dedicated to the topic of cloud-based CPS and its practical applications in manufacturing, this book benefits readers from all manufacturing sectors, from system design to lifecycle engineering and from process planning to machine control. It also helps readers to understand the present challenges and future research directions towards factories of the future, helping them to position themselves strategically for career development.