Having broken free from its origins in industry, robotics has been rapidly expanding into the challenging terrain of unstructured environments. Unlike other handbooks that focus on industrial applications, the Springer Handbook of Robotics incorporates these new developments. Just like all Springer Handbooks, it is utterly comprehensive, edited by internationally renowned experts, and replete with contributions from leading researchers from around the world. The handbook is an ideal resource for robotics experts but also for people new to this expanding field.

    With the development of such research initiatives as the evolution of digital organisms, computer immune systems, artificial protocells, evolutionary robotics, and swarm systems, Johnston argues, machinic life has achieved a complexity and autonomy worthy of study in its own right.Drawing on the publications of scientists as well as a range of work in contemporary philosophy and cultural theory, but always with the primary focus on the "objects at hand"—the machines, programs, and processes that constitute machinic life—Johnston shows how they come about, how they operate, and how they are already changing. This understanding is a necessary first step, he further argues, that must precede speculation about the meaning and cultural implications of these new forms of life.Developing the concept of the "computational assemblage" (a machine and its associated discourse) as a framework to identify both resemblances and differences in form and function, Johnston offers a conceptual history of each of the three sciences. He considers the new theory of machines proposed by cybernetics from several perspectives, including Lacanian psychoanalysis and "machinic philosophy." He examines the history of the new science of artificial life and its relation to theories of evolution, emergence, and complex adaptive systems (as illustrated by a series of experiments carried out on various software platforms). He describes the history of artificial intelligence as a series of unfolding conceptual conflicts—decodings and recodings—leading to a "new AI" that is strongly influenced by artificial life. Finally, in examining the role played by neuroscience in several contemporary research initiatives, he shows how further success in the building of intelligent machines will most likely result from progress in our understanding of how the human brain actually works.

    It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling explores the essence of cognition through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Computational models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.

    In Becoming Beside Ourselves, Rotman turns his attention to alphabetic writing or the inscription of spoken language. Contending that all media configure what they mediate, he maintains that alphabetic writing has long served as the West’s dominant cognitive technology. Its logic and limitations have shaped thought and affect from its inception until the present. Now its grip on Western consciousness is giving way to virtual technologies and networked media, which are reconfiguring human subjectivity just as alphabetic texts have done for millennia.Alphabetic texts do not convey the bodily gestures of human speech: the hesitations, silences, and changes of pitch that infuse spoken language with affect. Rotman suggests that by removing the body from communication, alphabetic texts enable belief in singular, disembodied, authoritative forms of being such as God and the psyche. He argues that while disembodied agencies are credible and real to “lettered selves,” they are increasingly incompatible with selves and subjectivities formed in relation to new virtual technologies and networked media. Digital motion-capture technologies are restoring gesture and even touch to a prominent role in communication. Parallel computing is challenging the linear thought patterns and ideas of singularity facilitated by alphabetic language. Barriers between self and other are breaking down as the networked self is traversed by other selves to become multiple and distributed, formed through many actions and perceptions at once. The digital self is going plural, becoming beside itself.

    Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence--to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems--including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

    The action repertoire of an animal is highly dimensional, whereas the cortical sheet is two-dimensional. Rendering the action space onto the cortex therefore results in a complex pattern, explaining the otherwise inexplicable details of the motor cortex organization. This clearly written book book includes a complete history of motor cortex research from its discovery to the present, a discussion of the major issues in motor cortex research, and an account of recent experiments that led to Graziano's action map view. Though focused on the motor cortex, the book includes a range of topics from an explanation of how primates put food in their mouths, to the origins of social beahvior such as smiling and laughing, to the mysterious link between movement disorders and autism. This book is written for a general audience, and should be of interest to experts, students, and the scientific lay.

    Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.