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The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).
At the dawn of the new millennium, robotics is undergoing a major transformation in scope and dimension. From a largely dominant industrial focus, robotics is rapidly expanding into the challenges of unstructured environments. Interacting with, assi- ing, serving, and exploring with humans, the emerging robots will increasingly touch people and their lives. The goal of the Springer Tracts in Advanced Robotics (STAR) series is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research - velopments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field. The European Robotics Symposium (EUROS) was launched in 2006 as an inter- tional scientific single-track event promoted by EURON, the European Robotics Network linking most of the European research teams since its inception in 2000. Since then, EUROS has found its parental home under STAR, together with the other thematic symposia devoted to excellence in robotics research: FSR, ISER, ISRR, WAFR.
CE TRAVAIL S'INTERESSE A L'ORGANISATION GENERALE DES COMPOSANTES D'UNE ARCHITECTURE DE CONTROLE DE ROBOT MOBILE AUTONOME ET SE FOCALISE SUR LES MECANISMES CONCOURANT A SA FONCTION PERCEPTION. NOUS MENONS UNE ANALYSE DES ARCHITECTURES DE CONTROLE DE ROBOT EXISTANTES ET DES APPROCHES SUIVIES POUR LEUR ELABORATION QUI NOUS GUIDE VERS LA CONCEPTION ASCENDANTE D'UNE ARCHITECTURE DE CONTROLE HYBRIDE. APRES AVOIR CHOISI NOTRE METHODE D'ETUDE ET DEFINI GLOBALEMENT L'ORGANISATION DE L'ARCHITECTURE SOUHAITEE, NOUS NOUS INTERESSONS A L'INTEGRATION DE LA FONCTION PERCEPTION SUR UN ROBOT MOBILE. NOTRE ETUDE SUR LA PERCEPTION VISUELLE ET NOTAMMENT SUR LES PROBLEMES DE L'EMPLOI D'ALGORITHMES DE TRAITEMENT D'IMAGES NOUS CONDUIT A CONSIDERER UN CONTROLE SPECIFIQUE A CES ALGORITHMES A L'AIDE D'UN MECANISME ORIGINAL DE GESTION DE L'ATTENTION DU ROBOT. CE MECANISME PERMET LA SELECTION DYNAMIQUE DE PROCESSUS DE PERCEPTION EN FONCTION DU COMPORTEMENT COURANT DU ROBOT, EN TENANT COMPTE DE CONNAISSANCES A PRIORI SUR DES ENCHAINEMENT LOGIQUES ENTRE PROCESSUS DE PERCEPTION ET EN CONSIDERANT LES RESSOURCES DE CALCUL DISPONIBLES SUR LE ROBOT. PAR UNE EVALUATION DES TRAITEMENTS DE PERCEPTION, CE MECANISME CHANGE LA METHODE D'UTILISATION DES TRAITEMENTS DE PERCEPTION COURAMMENT ADOPTEE SUR UN ROBOT. IL PERMET DE REMPLACER LA RECHERCHE DU MEILLEUR TRAITEMENT DE PERCEPTION POUR UN BUT DONNE, EFFECTUE LORS DE LA CONCEPTION DU ROBOT, PAR LA MISE EN PLACE DE TRAITEMENTS PLUS NOMBREUX ET PLUS SIMPLES DONT LA SELECTION LUI EST CONFIEE PENDANT LE DEROULEMENT DE SA MISSION. CE MECANISME AUTORISE DONC UNE PLUS GRANDE CAPACITE D'ADAPTATION DU ROBOT A SON ENVIRONNEMENT ET UNE SENSIBILITE MOINDRE AUX CHOIX ARBITRAIRES DE SON CONCEPTEUR. L'ARCHITECTURE DE CONTROLE PROPOSEE ET LES MECANISMES DE PERCEPTION DECRITS BRIEVEMENT CI-DESSUS SONT ENSUITE IMPLANTES SUR UN CALCULATEUR MULTIPROCESSEUR ET SOUS LA FORME D'UN SYSTEME MULTIAGENT. ENFIN, CE SYSTEME EST EXPERIMENTE POUR LE CONTROLE D'UN ROBOT MOBILE.
The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.
The technology and engineering behind autonomous driving is advancing at pace. This book presents the latest technical advances and the economic, environmental and social impact driverless cars will have on individuals and the automotive industry.
This textbook presents the core of recent advances in design theory and its implications for design methods and design organization. Providing a unified perspective on different design methods and approaches, from the most classic (systematic design) to the most advanced (C-K theory), it offers a unique and integrated presentation of traditional and contemporary theories in the field. Examining the principles of each theory, this guide utilizes numerous real life industrial applications, with clear links to engineering design, industrial design, management, economics, psychology and creativity. Containing a section of exams with detailed answers, it is useful for courses in design theory, engineering design and advanced innovation management. "Students and professors, practitioners and researchers in diverse disciplines, interested in design, will find in this book a rich and vital source for studying fundamental design methods and tools as well as the most advanced design theories that work in practice". Professor Yoram Reich, Tel Aviv University, Editor-in-Chief, Research In Engineering Design. "Twenty years of research in design theory and engineering have shown that training in creative design is indeed possible and offers remarkably operational methods - this book is indispensable for all leaders and practitioners who wish to strengthen theinnovation capacity of their company." Pascal Daloz, Executive Vice President, Dassault Systèmes
Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action. Although its roots can be traced back to the late fifties, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fueled by exciting new work in the areas of reinforcement earning, behavior-based architectures, genetic algorithms, neural networks and the study of artificial life. Robot Learning gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration.
Actors in the world of work are facing an increasing number of challenges, including automatization and digitalization, new types of jobs and more diverse forms of employment. This timely book examines employer and worker responses, challenges and opportunities for social dialogue, and the role of social partners in the governance of the world of work.
The 21st century technological development is revolutionizing medicine and health care, bringing new hopes to human suffering by offering cures and treatments which were unthinkable a few decades ago. This is where anti-ageing medicine finds its niche. Anti-ageing medicine aims at slowing, arresting, and reversing phenomena associated with ageing by merging biotechnological innovation and engineered solutions. Ideally, by means of the newest medical technology, the "body machinery" should be kept fit and at peak performance all life long. Early detection of age-related dysfunction should thus be "fixed" at any age with interventions such as metabolic fine tuning, enhancement, regeneration, restoration or replacement of "body parts" (i.e. organs, skin, bone or muscle). It covers a vast array of domains: from cell therapy to pharmaceutical interventions, from bio-surgery to aesthetic surgery, from human enhancement to fortified food, from smart housing and robots to toxic-free environments. Anti-ageing medicine holds promises but also significant risks and safety issues which are addressesd in this book. It presents the latest scientific evidence on what works or does not work. It also provides public policy recommendations to ensure the protection of consumers and their rights while encouraging research and development. This book is intended for academics, health professionals, business persons, consumers and policy-makers interested in the latest evidence and ethical issues about anti-ageing medicine.