This forward-thinking book examines the future of public policy as a discipline, both as it is taught and as it is practiced. Critically assessing the limits of current theories and approaches, leading scholars in the field highlight new models and perspectives. Chapters present data on what is taught in policy schools, using survey results from schools of public policy to assess pedagogical scope and adequacy. The book also considers policy work in government, and whether theory matches practice. Reflecting on the future of policy making, policy advice, implementation and governance in light of the COVID-19 pandemic, it analyses how policy issues are now framed and debated, the range of available tools, and how public compliance and popular support have been eroded by the crisis. This book will be an essential guide to re-thinking the field of public policy and its theories, methods, and applications. It will help teachers, students, public managers and policy-makers navigate the new, turbulent governance landscape that lies ahead.

This book is the sixth volume of the successful book series on Robot Operating System: The Complete Reference. The objective of the book is to provide the reader with comprehensive coverage of the Robot Operating Systems (ROS) and the latest trends and contributed systems. ROS is currently considered as the primary development framework for robotics applications. There are seven chapters organized into three parts. Part I presents two chapters on the emerging ROS 2.0 framework; in particular, ROS 2.0 is become increasingly mature to be integrated into the industry. The first chapter from Amazon AWS deals with the challenges that ROS 2 developers will face as they transition their system to be commercial-grade. The second chapter deals with reactive programming for both ROS1 and ROS. In Part II, two chapters deal with advanced robotics, namely on the usage of robots in farms, and the second deals with platooning systems. Part III provides three chapters on ROS navigation. The first chapter deals with the use of deep learning for ROS navigation. The second chapter presents a detailed tuning guide on ROS navigation and the last chapter discusses SLAM for ROS applications. I believe that this book is a valuable companion for ROS users and developers to learn more ROS capabilities and features.

This is the fourth volume of the successful series Robot Operating Systems: The Complete Reference, providing a comprehensive overview of robot operating systems (ROS), which is currently the main development framework for robotics applications, as well as the latest trends and contributed systems. The book is divided into four parts: Part 1 features two papers on navigation, discussing SLAM and path planning. Part 2 focuses on the integration of ROS into quadcopters and their control. Part 3 then discusses two emerging applications for robotics: cloud robotics, and video stabilization. Part 4 presents tools developed for ROS; the first is a practical alternative to the roslaunch system, and the second is related to penetration testing. This book is a valuable resource for ROS users and wanting to learn more about ROS capabilities and features.

Seven-year-old Anthony Majok was torn from his happy African village and began running for his life, due to ongoing civil war, sparked by religious and political strife. The Christian Majok family, along with many others, refused to take up the Islam faith. Over the next 17 years, Majok and thousands of lost boys and girls of Sudan battled well-armed soldiers, vicious animals, hunger and disease as they fled across the continent. Set in South Sudan, Ethiopia, Kenya and, finally, the United States, it is Majok's unwavering faith that helps him withstand devastating hardship. Journey of Faith conveys not only Majok's moving personal story, it illuminates the reasons for decades of war in Sudan.

This book is the fifth volume in the successful book series Robot Operating System: The Complete Reference. The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and the latest trends and contributing systems. The content is divided into six parts. Pat I presents for the first time the emerging ROS 2.0 framework, while Part II focuses on multi-robot systems, namely on SLAM and Swarm coordination. Part III provides two chapters on autonomous systems, namely self-driving cars and unmanned aerial systems. In turn, Part IV addresses the contributions of simulation frameworks for ROS. In Part V, two chapters explore robotic manipulators and legged robots. Finally, Part VI presents emerging topics in monocular SLAM and a chapter on fault tolerance systems for ROS. Given its scope, the book will offer a valuable companion for ROS users and developers, helping them deepen their knowledge of ROS capabilities and features.

This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets. In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS) The book chapters present various techniques of deep learning for robotic applications. The book chapters contain a good literature survey with a long list of references. The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques. The book chapters are lucidly illustrated with numerical examples and simulations. The book chapters discuss details of applications and future research areas.

This book shows the push and pull effects between resources, human security and conflicts in Africa. It recognizes the need for resources in Africa to be processed into finished goods in order to influence global market and redefine the pattern of trade relations with powerful countries of Asia, America and Europe in shaping the destiny and future of African countries. The achievement of this laudable objective is plagued by the security challenges which are directly or indirectly linked to resource-related conflicts rocking most of the resource endowed countries in the continent, thereby threatening global peace and security. To deal with this menace in the continent, it requires global co-operation and support of foreign governments, international organizations, international non-government organizations, governments of host countries and its citizens. The book presents the cases and experiences of countries that are endowed with resource, as well as have experienced different forms of human insecurity and have witnessed environmental conflicts in its analysis, which make the discourse interesting and quite educating.

This book compiles some of the latest research in cooperation between robots and sensor networks. Structured in twelve chapters, this book addresses fundamental, theoretical, implementation and experimentation issues. The chapters are organized into four parts namely multi-robots systems, data fusion and localization, security and dependability, and mobility.