Robotics Software Design and Engineering is an edited volume on robotics. Chapters cover such topics as cognitive robotics systems, artificial intelligence, force feedback, autonomous driving embedded systems, multi-robot systems, a robot software framework for Real-time Control systems, and Industry 4.0. Also discussed are humanoid robots, aerial and work vehicles, and robot manipulators.

Systems Engineering is gaining importance in the high-tech industry with systems like digital single-lens reflex cameras, medical imaging scanners, and industrial production systems. Such systems require new methods that can handle uncertainty in the early phases of development, that systems engineering can provide. This book offers a toolbox approach by presenting the tools and illustrating their application with examples. This results in an emphasis on the design of systems, more than on analysis and classical systems engineering. The book is useful for those who need an introduction to system design and engineering, and those who work with system engineers, designers and architects.

This book reports on the concepts and ideas discussed at the well attended ICRA2005 Workshop on "Principles and Practice of Software Development in Robotics", held in Barcelona, Spain, April 18 2005. It collects contributions that describe the state of the art in software development for the Robotics domain. It also reports a number of practical applications to real systems and discuss possible future developments.

"Robotics Diploma and Engineering Interview Questions and Answers: Exploring Robotics" is an extensive guide designed to help individuals navigate the competitive world of robotics interviews. Whether you are a fresh graduate, an experienced professional, or an aspiring robotics engineer, this robotics book equips you with the knowledge and confidence to ace your interviews. Structured as a question-and-answer format, this book covers a wide range of topics relevant to robotics diploma and engineering interviews. It begins with an overview of the fundamentals, including the history, evolution, and importance of robotics, ensuring you have a solid foundation before diving into the interview-specific content. Delve into various technical areas of robotics, such as mechanical engineering, electrical and electronic engineering, computer science and programming, control and automation, sensing and perception, and more. Each section presents commonly asked interview questions along with detailed, extended answers, ensuring you are well-prepared to showcase your expertise and problem-solving skills. Explore mechanical engineering for robotics, including the components, kinematics, dynamics, and structures that form the backbone of robotic systems. Gain insights into actuators and motors, their applications, and how they enable precise and controlled robot movements. Dive into electrical and electronic engineering specific to robotics, understanding the role of sensors and transducers in capturing environmental data and enabling robot interaction. Learn about electronics, circuit analysis, control systems, and power systems tailored for robotic applications. Uncover the essentials of computer science and programming in the context of robotics. Discover the programming languages commonly used in robotics, understand algorithms and data structures optimized for efficient robot behaviors, and explore the fields of perception and computer vision, machine learning, and artificial intelligence as they apply to robotics. Master control and automation in robotics, including feedback control systems, the PID control algorithm, various control architectures, trajectory planning, motion control, and techniques for robot localization and mapping. Develop a deep understanding of robot sensing and perception, covering environmental sensing, object detection and recognition, localization and mapping techniques, simultaneous localization and mapping (SLAM), and the critical aspects of human-robot interaction and perception. Furthermore, this book provides valuable guidance on robot programming and simulation, including programming languages specific to robotics, the Robot Operating System (ROS), robot simulation tools, and best practices for software development in the robotics field. The final sections of the robotics engineering book explore the design and development process for robotics, safety considerations, and emerging trends in the industry. Gain insights into the future of robotics and engineering, the integration of robotics in Industry 4.0, and the ethical and social implications of these advancements. "Robotics Diploma and Engineering Interview Questions and Answers: Exploring Robotics" is your ultimate resource to prepare for robotics interviews, offering a complete collection of interview questions and in-depth answers. Arm yourself with the knowledge and confidence needed to succeed in landing your dream job in the dynamic and rapidly evolving field of robotics.

The topics covered in this book range from modeling and programming languages and environments, via approaches for design and verification, to issues of ethics and regulation. In terms of techniques, there are results on model-based engineering, product lines, mission specification, component-based development, simulation, testing, and proof. Applications range from manufacturing to service robots, to autonomous vehicles, and even robots than evolve in the real world. A final chapter summarizes issues on ethics and regulation based on discussions from a panel of experts. The origin of this book is a two-day event, entitled RoboSoft, that took place in November 2019, in London. Organized with the generous support of the Royal Academy of Engineering and the University of York, UK, RoboSoft brought together more than 100 scientists, engineers and practitioners from all over the world, representing 70 international institutions. The intended readership includes researchers and practitioners with all levels of experience interested in working in the area of robotics, and software engineering more generally. The chapters are all self-contained, include explanations of the core concepts, and finish with a discussion of directions for further work. Chapters 'Towards Autonomous Robot Evolution', 'Composition, Separation of Roles and Model-Driven Approaches as Enabler of a Robotics Software Ecosystem' and 'Verifiable Autonomy and Responsible Robotics' are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The 2016 2nd International Conference on Energy Equipment Science and Engineering (ICEESE 2016) was held on November 12-14, 2016 in Guangzhou, China. ICEESE 2016 brought together innovative academics and industrial experts in the field of energy equipment science and engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in energy equipment science and engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in energy equipment science and engineering and related areas. This second volume of the two-volume set of proceedings covers the field of Structural and Materials Sciences, and Computer Simulation & Computer and Electrical Engineering.

Learn how to use cloud native tools for robotics KEY FEATURES ● Learn the basics of DevOps and Cloud Native Computing. ● Learn how to build a robot using web frameworks like Flask. ● Learn how to use Docker to containerize your applications. ● Learn how to orchestrate your Raspberry Pi containers with Kubernetes. ● Learn how to use GitHub Actions and Argo CD to test and deploy applications. ● Learn how to use Prometheus to gather metrics. ● Learn how to build a Dashboard with Grafana. DESCRIPTION Embrace the transformative power of cloud robotics with Cloud-Powered Robotics with Raspberry Pi, your ultimate guide to building and deploying intelligent robotic applications using cutting-edge DevOps and cloud native tools. Immerse yourself in the fundamentals of DevOps, mastering the principles and practices that streamline software development and deployment. Uncover the intricacies of cloud native tools like Docker and Kubernetes, learning how to containerize, orchestrate, and manage your robotic applications with unparalleled efficiency. Transform your knowledge into action by constructing a comprehensive robot monitoring system step by step. Through this hands-on project, you will gain practical experience with cloud native tools, solidifying your understanding of their applications and empowering you to leverage their capabilities for your own projects. Explore the boundless potential of cloud native computing in robotics, discovering how these tools are revolutionizing industries like assembly, farming, and medicine. Gain insights from real-world case studies, witnessing how small companies are harnessing the power of cloud native tools to create innovative robotic solutions. Join the forefront of cloud robotics and empower yourself to build, deploy, and monitor intelligent robotic applications that transform industries and shape the future. WHAT YOU WILL LEARN ● Learn the basics of DevOps and Cloud Native Computing. ● Learn how to use cloud native tools by building a robot monitoring application. ● Learn how each tool works and understand the concepts of cloud native computing along the way. ● Specific examples of how to use cloud native tools in other fields such as assembly, farming and medicine. WHO THIS BOOK IS FOR This book is for DevOps engineers who are already familiar with these tools and want to apply them to other projects, software developers who want to learn cloud native tools for the first time, robotics and IoT enthusiasts and engineers who want to learn cloud native tools to apply them to their projects. The only requirements are knowing the basics of Python, Node.js or Java. TABLE OF CONTENTS 1. Introduction to DevOps and Cloud Native Computing 2. Flask Robot Control 3. Node.js/Express Robot Control 4. Spring Boot Robot Control 5. Containerization with Docker 6. Container Orchestration with Kubernetes 7. Continuous Integration with GitHub Actions 8. Continuous Delivery with Argo CD 9. Monitoring with Prometheus 10. Building a Dashboard with Grafana 11. Use Cases and the Future of Cloud Native for Robotics

This book presents the state-of-the-art and breakthrough innovations in design automation for cyber-physical systems.The authors discuss various aspects of cyber-physical systems design, including modeling, co-design, optimization, tools, formal methods, validation, verification, and case studies. Coverage includes a survey of the various existing cyber-physical systems functional design methodologies and related tools will provide the reader unique insights into the conceptual design of cyber-physical systems.

The book Human-Robot Interaction - Perspectives and Applications highlights the latest developments and obstacles in the field of human-machine interaction, including collaborative and humanoid robots, symbiosis between humans and robots, human-human collaboration, and robotics. Human-robot interaction has immense potential in areas like healthcare, education, manufacturing, military, and space exploration. This volume consists of several chapters that explore various topics such as the use of robotic wheelchairs, deep neural networks for robot grasp recognition, materials and sensors required for human-robot interaction, the use of drone technology in agriculture, healthcare robots in smart hospitals, and more.

Why are the many highly capable autonomous robots that have been promised for novel applications driven by society, industry, and research not available - day despite the tremendous progress in robotics science and systems achieved during the last decades? Unfortunately, steady improvements in speci?c robot abilities and robot hardware have not been matched by corresponding robot performance in real world environments. This is mainly due to the lack of - vancements in robot software that master the development of robotic systems of ever increasing complexity. In addition, fundamental open problems are still awaiting sound answers while the development of new robotics applications s- fersfromthelackofwidelyusedtools,libraries,andalgorithmsthataredesigned in a modular and performant manner with standardized interfaces. Simulation environments are playing a major role not only in reducing development time and cost, e. g. , by systematic software- or hardware-in-the-loop testing of robot performance, but also in exploring new types of robots and applications. H- ever,their use may still be regardedwith skepticism. Seamless migrationof code using robot simulators to real-world systems is still a rare circumstance, due to the complexity of robot, world, sensor, and actuator modeling. These challenges drive the quest for the next generation of methodologies and tools for robot development. The objective of the International Conference on Simulation, Modeling, and ProgrammingforAutonomous Robots (SIMPAR) is to o?er a unique forum for these topics and to bring together researchersfrom academia and industry to identify and solve the key issues necessary to ease the development of increasingly complex robot software.