A comprehensive introduction to the mathematical foundations of movement and actuation that apply equally to animals and machines. This textbook offers a computational framework for the sensorimotor stage of development as applied to robotics. Much work in developmental robotics is based on ad hoc examples, without a full computational basis. This book's comprehensive and complete treatment fills the gap, drawing on the principal mechanisms of development in the first year of life to introduce what is essentially an operating system for developing robots. The goal is to apply principles of development to robot systems that not only achieve new levels of performance but also provide evidence for scientific theories of human development.

Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics. - Presents a repository of the open questions and challenges in trust in HRI - Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science - Examines human information processing as a foundation for understanding HRI - Details the methods and techniques used to test and quantify trust in HRI

This book examines the importance of work in human well-being, addressing several related philosophical questions about work and arguing on the whole that meaningful work is central in human flourishing. Work impacts flourishing not only in developing and exercising human capabilities but also in instilling and reflecting virtues such as honor, pride, dignity, self-discipline and self-respect. Work also attaches to a sense of purposefulness and personal identity, and meaningful work can promote both personal autonomy and a sense of personal satisfaction that issues from making oneself useful. Further still, work bears a formative influence on character and intelligence and provides a primary avenue for exercising complex skills and garnering esteem and recognition from others. The author defends a pluralistic account of meaningful work, arguing that work can be meaningful in virtue of developing capabilities, supporting virtues, providing a purpose, or integrating elements of a worker's life. In light of the impact of meaningful work on living well, the author argues that well-ordered societies provide opportunities for meaningful work, that individuals would be well advised to pursue these opportunities, and that the philosophical view of value pluralism, which casts work as having no special significance in an individual's life, is false. The book also addresses oppressive work that undermines human flourishing, examining potential solutions to mitigate the impact of bad work on those who perform it. Finally, a guiding argument of the book is that promoting meaningful work is a matter of ethics, more so than a matter of politics. Prioritizing people over profit, treating workers with respect, respecting the intelligence of working people, and creating opportunities for people to contribute developed skills are basic ethical principles for employing organizations and for communities at large.

Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs. This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice. Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion. This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background.

This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.

The De Gruyter Handbook of Robots in Society and Culture provides a comprehensive discussion of how social robots take form, function, and meaning for individuals, relationships, cultures, and societies. Through a path-breaking integration of perspectives coming from sociology, communication and media, psychology, cognitive neuroscience, anthropology, political science, and science and technology studies, it focuses on the critical and social meaning of present developments in social robotic technologies. This book looks at artificial agents – from voice-based assistants to humanoid robots— as their use transforms private and public contexts and gives rise to both new possibilities and new perils for human being and becoming, organizations as well as social structures and institutions. The handbook traces the consequences and key problems of social robotics across broad social contexts in both public and political as well as domestic and intimate spaces. Further, it attends carefully to the implications of social robotics for various human identity groups, including those based on gender, ethnicity, culture, class, ability, and age. Deep attention to interdisciplinarity, inclusivity, ethics, and socio-cultural futures serves as the guiding inspiration behind each contribution within this handbook.