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By the dawn of the new millennium, robotics has undergone a major tra- formation in scope and dimensions. This expansion has been brought about bythematurityofthe?eldandtheadvancesinitsrelatedtechnologies.From a largely dominant industrial focus, robotics has been rapidly expanding into the challenges of the human world. The new generation of robots is expected to safely and dependably co-habitat with humans in homes, workplaces, and communities,providingsupportinservices,entertainment,education,heal- care, manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider range of applications reaching across - verse research areas and scienti?c disciplines, such as: biomechanics, haptics, neurosciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are pr- ing an abundant source of stimulation and insights for the ?eld of robotics. It is indeed at the intersection of disciplines that the most striking advances happen. The goal of the series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their signi?cance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing ?eld.
Generation Robot covers a century of science fiction, fact and, speculation—from the 1950 publication of Isaac Asimov’s seminal robot masterpiece, I, Robot, to the 2050 Singularity when artificial and human intelligence are predicted to merge. Beginning with a childhood informed by pop-culture robots in movies, in comic books, and on TV in the 1960s to adulthood where the possibilities of self-driving cars and virtual reality are daily conversation, Terri Favro offers a unique perspective on how our relationship with robotics and futuristic technologies has shifted over time. Peppered with pop-culture fun-facts about Superman’s kryptonite, the human-machine relationships in the cult TV show Firefly, and the sexual and moral implications of the film Ex Machina, Generation Robot explores how the techno-triumphs and resulting anxieties of reality bleed into the fantasies of our collective culture. Clever and accessible, Generation Robot isn’t just for the serious, scientific reader—it’s for everyone interested in robotics and technology since their science-fiction origins. By looking back at the future she once imagined, analyzing the plugged-in present, and speculating on what is on the horizon, Terri Favro allows readers the chance to consider what was, what is, and what could be. This is a captivating book that looks at the pop-culture of our society to explain how the world works—now and tomorrow.
Robotics is an applied engineering science that has been referred to as a combination of machine tool technology and computer science. It includes diverse fields such as machine design, control theory, microelectronics, computer programming, artificial intelligence, human factors and production theory. The present book provides a comprehensive introduction to robotics. The book covers a fair amount of kinematics and dynamics of the robots. It also covers the sensors and actuators used in robotics system. This book will be useful for mechanical, electrical, electronics and computer engineering students. Key Features: Latest technological developments in robotics Robotic classifications, robot programming, robotic sensors and actuators. Kinematics and dynamic analysis of the Robot Modular systems in robotics Advances in Robotics systems Fuzzy logic control in Robotic systems Biped robot Bio-mimetic robot Robot safety and layout Robot calibration Numerical examples Relative merits and demerits of different robot systems
Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. - Brings AI and smart robotics into imaginative, technically-informed dialogue - Integrates fundamentals with real-world applications - Presents potential applications for AI in smart robotics by use-case - Gives detailed theory and mathematical calculations for each application - Stimulates new thinking and research in applying AI to robotics
Over the past five years robot vision has emerged as a subject area with its own identity. A text based on the proceedings of the Symposium on Computer Vision and Sensor-based Robots held at the General Motors Research Laboratories, Warren, Michigan in 1978, was published by Plenum Press in 1979. This book, edited by George G. Dodd and Lothar Rosso!, probably represented the first identifiable book covering some aspects of robot vision. The subject of robot vision and sensory controls (RoViSeC) occupied an entire international conference held in the Hilton Hotel in Stratford, England in May 1981. This was followed by a second RoViSeC held in Stuttgart, Germany in November 1982. The large attendance at the Stratford conference and the obvious interest in the subject of robot vision at international robot meetings, provides the stimulus for this current collection of papers. Users and researchers entering the field of robot vision for the first time will encounter a bewildering array of publications on all aspects of computer vision of which robot vision forms a part. It is the grey area dividing the different aspects of computer vision which is not easy to identify. Even those involved in research sometimes find difficulty in separating the essential differences between vision for automated inspection and vision for robot applications. Both of these are to some extent applications of pattern recognition with the underlying philosophy of each defining the techniques used.
Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x Key FeaturesExperimental projects showcasing the implementation of high-performance deep learning models with Keras.Use-cases across reinforcement learning, natural language processing, GANs and computer vision.Build strong fundamentals of Keras in the area of deep learning and artificial intelligence.Book Description Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects that look at a range of real-world application areas. To begin with, you will quickly set up a deep learning environment by installing the Keras library. Through each of the projects, you will explore and learn the advanced concepts of deep learning and will learn how to compute and run your deep learning models using the advanced offerings of Keras. You will train fully-connected multilayer networks, convolutional neural networks, recurrent neural networks, autoencoders and generative adversarial networks using real-world training datasets. The projects you will undertake are all based on real-world scenarios of all complexity levels, covering topics such as language recognition, stock volatility, energy consumption prediction, faster object classification for self-driving vehicles, and more. By the end of this book, you will be well versed with deep learning and its implementation with Keras. You will have all the knowledge you need to train your own deep learning models to solve different kinds of problems. What you will learnApply regression methods to your data and understand how the regression algorithm worksUnderstand the basic concepts of classification methods and how to implement them in the Keras environmentImport and organize data for neural network classification analysisLearn about the role of rectified linear units in the Keras network architectureImplement a recurrent neural network to classify the sentiment of sentences from movie reviewsSet the embedding layer and the tensor sizes of a networkWho this book is for If you are a data scientist, machine learning engineer, deep learning practitioner or an AI engineer who wants to build speedy intelligent applications with minimal lines of codes, then this book is the best fit for you. Sound knowledge of machine learning and basic familiarity with Keras library would be useful.
Telexistence is a fundamental concept which refers to the general technology that enables a human being to have the real-time sensation of being at a place other than where he or she actually exists, while being able to interact with the remote environment, which may be real, virtual, or a combination of both. It also refers to an advanced type of teleoperation system that enables an operator at the control to perform remote tasks dexterously with the feeling of existing in a surrogate robot working in a remote environment. Telexistence in the real remote environment through a virtual environment is also possible.This book is the second edition of the original Telexistence; new contents cover recent advancements of the technology in areas such as human augmentation, autostereoscopy, tangible visuo-haptic 3D display, face-to-face communication, and haptic sensations and technologies. Case studies of the mobile mutual telexistence system TELESAR IV and haptic telexistence avatar system TELESAR V are also included. Written by the inventor of the concept of this emerging technology, it introduces the concept of telexistence, explains how this concept can be realized, illustrates precisely real examples of the realization of the concept, and determines its future advancement. Readers will be inspired by the concept, and acquire appropriate knowledge on this emerging technology and the fundamental skills to contribute in further development of telexistence.