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History and Evolution of Aircraft
History and Evolution of Aircraft reviews the history of aviation from early history to the present day, including the evolution milestones of military aircraft, civil aircraft, helicopters, drones, balloons, airships, and their engines. It also provides the background and development of different types of aircraft, including manned and unmanned vehicles, aircraft carriers, fixed or rotary wings, air, sea, and amphibian flight vehicles. Covering current and developing applications of unmanned aerial vehicles (UAVs), the book highlights the prospects of future flying vehicles including automotives and jetpacks. It follows the transition from piston to jet engines that include shaft-based engi...
Mobile Robots
This book consists of 18 chapters divided in four sections: Robots for Educational Purposes, Health-Care and Medical Robots, Hardware - State of the Art, and Localization and Navigation. In the first section, there are four chapters covering autonomous mobile robot Emmy III, KCLBOT - mobile nonholonomic robot, and general overview of educational mobile robots. In the second section, the following themes are covered: walking support robots, control system for wheelchairs, leg-wheel mechanism as a mobile platform, micro mobile robot for abdominal use, and the influence of the robot size in the psychological treatment. In the third section, there are chapters about I2C bus system, vertical displacement service robots, quadruped robots - kinematics and dynamics model and Epi.q (hybrid) robots. Finally, in the last section, the following topics are covered: skid-steered vehicles, robotic exploration (new place recognition), omnidirectional mobile robots, ball-wheel mobile robots, and planetary wheeled mobile robots.
Internet of Things
Embark on a journey through the dynamic world of the Internet of Things (IoT) with Internet of Things - New Insight. This innovative book offers a concise yet comprehensive exploration of IoT’s technological evolution, diverse applications, and prospects. From its roots in ubiquitous computing to real-world applications in health care, agriculture, and smart cities, each chapter unveils the transformative impact of IoT on our interconnected world. Key Features: Applications across Domains: Explore real-world examples showcasing how IoT enhances efficiency and quality of life. Challenges and Solutions: Confront the hurdles of rapid IoT proliferation and discover insightful perspectives and solutions. Future Prospects: Peer into the future, exploring potential advancements in AI integration, edge computing, and 6G connectivity. Whether you are a professional seeking deeper insights or an enthusiast eager to understand the complexities of IoT, this book is your gateway to a revolutionary technological landscape that continues to redefine connectivity and innovation.
Complex Systems
This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control. Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems. The major common feature of all t...
Soft Computing and Machine Learning with Python
A definition states that the machine learning is a discipline that allows the computers to learn without explicit programming. The challenge in machine learning is how to accurately (algorithmic) describe some kinds of tasks that people can easily solve (for example face recognition, speech recognition etc.). Such algorithms can be defined for certain types of tasks, but they are very complex and/or require large knowledge base (e.g. machine translation MT). In many of the areas - data are continuously collected in order to get "some knowledge out of them" for example - in medicine (patient data and therapy), in marketing (the users / customers and what they buy, what are they interested in,...
The Future of Humanoid Robots
This book provides state of the art scientific and engineering research findings and developments in the field of humanoid robotics and its applications. It is expected that humanoids will change the way we interact with machines, and will have the ability to blend perfectly into an environment already designed for humans. The book contains chapters that aim to discover the future abilities of humanoid robots by presenting a variety of integrated research in various scientific and engineering fields, such as locomotion, perception, adaptive behavior, human-robot interaction, neuroscience and machine learning. The book is designed to be accessible and practical, with an emphasis on useful information to those working in the fields of robotics, cognitive science, artificial intelligence, computational methods and other fields of science directly or indirectly related to the development and usage of future humanoid robots. The editor of the book has extensive R
Becoming Human with Humanoid
Nowadays, our expectations of robots have been significantly increases. The robot, which was initially only doing simple jobs, is now expected to be smarter and more dynamic. People want a robot that resembles a human (humanoid) has and has emotional intelligence that can perform action-reaction interactions. This book consists of two sections. The first section focuses on emotional intelligence, while the second section discusses the control of robotics. The contents of the book reveal the outcomes of research conducted by scholars in robotics fields to accommodate needs of society and industry.
Recent Trends In Mobile Robots
This book presents recent trends in the field as perceived by a global selection of researchers and experts. Subjects covered include motion planning of mobile robots in unknown environments, coordination between mobility and manipulability, computation environments for mobile robots, nonlinear control of mobile robots and environmental modeling using advanced sensing technologies. Issues ranging from progress in applications to fundamental problems are discussed.
Learning in Embedded Systems
Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics and machine learning. Presenting interesting, new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial and error experience with an external world. The text is a detailed exploration of the problem of learning action strategies in the context of designing embedded systems that adapt their behaviour to a complex, changing environment. Such systems include mobile robots, factory process controllers and long-term software databases.
