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LE TRAVAIL DE RECHERCHE A POUR OBJECTIF DE DEFINIR ET SIMULER LE FONCTIONNEMENT D'UN NAVIGATEUR POUR ROBOTS MOBILES AUTONOMES SUR SOL IRREGULIER. UNE ANALYSE BIBLIOGRAPHIQUE MET EN EVIDENCE LES GRANDS PRINCIPES DE LA NAVIGATION. LES PROBLEMES SPECIFIQUES DES ROBOTS EVOLUANT EN EXTERIEUR SONT FORMALISES. ON PROPOSE ALORS UNE MODELISATION DU TERRAIN BASEE SUR LA POLYGONATION DES COURBES DE NIVEAUX. DANS L'ESPACE DE RECHERCHE ASSOCIE ON DEFINIT UN ALGORITHME DE RECHERCHE DES DEPLACEMENTS ELEMENTAIRES. ON PROPOSE ENSUITE UNE METHODE DE DETERMINATION DU TEMPS DE PARCOURS MINIMAL, EN FONCTION DES CARACTERISTIQUES DU VEHICULE, DE LA GEOMETRIE ET DE LA NATURE DU TERRAIN. ENFIN ON EXPOSE LES RESULTATS DES SIMULATIONS ET UNE EVALUATION DE LA COMPLEXITE DES ALGORITHMES
Robotics is a modern interdisciplinary field that has emerged from the marriage of computerized numerical control and remote manipulation. Today's robotic systems have intelligence features, and are able to perform dexterous and intelligent human-like actions through appropriate combination of learning, perception, planning, decision making and control. This book presents advanced concepts, techniques and applications reflecting the experience of a wide group of specialists in the field. Topics include: kinematics, dynamics, path planning and tracking, control, mobile robotics, navigation, robot programming, and sophisticated applications in the manufacturing, medical, and other areas.
Geometry is a powerful tool to solve a great number of problems in robotics and computer vision. Impressive results have been obtained in these fields in the last decade. It is a new challenge to solve problems of the actual world which require the ability to reason about uncertainty and complex motion constraints by combining geometric, kinematic, and dynamic characteristics. A necessary step is to develop appropriate geometric reasoning techniques with reasonable computational complexity. This volume is based on a workshop held in Grenoble, France,in September 1991. It contains selected contributions on several important areas in the field of robotics and computer vision. The four chapters cover the following areas: - motion planning with kinematic and dynamic constraints, - motion planning and control in the presence of uncertainty, - geometric problems related to visual perception, -numerical problems linked to the implementation of practical algorithms for visual perception.
CE MEMOIRE PRESENTE UNE APPROCHE ORIGINALE DANS LE DOMAINE DE LA NAVIGATION AUTONOME EN TERRAIN ACCIDENTE. IL A POUR BUT D'ABORDER CERTAINES DES DIFFICULTES RENCONTREES PAR CETTE BRANCHE DE LA ROBOTIQUE. NOS TRAVAUX REPOSENT SUR DES ALGORITHMES SIMPLE ET RAPIDES, QUI OPERENT SUR DES CARTES ROBOCENTRIQUES CONSTRUITES A PARTIR DE PERCEPTIONS DES CAPTEURS EMBARQUES. LES NIVEAUX INFERIEURS DE NOTRE ARCHITECTURE NE MODELISENT QUE TRES GROSSIEREMENT L'ENVIRONNEMENT, MAIS REPOSENT SUR UNE FREQUENCE ELEVEE DU CYCLE DE PERCEPTION-PLANIFICATION POUR OBTENIR DE REELLES CAPACITES DE NAVIGATION. CES NIVEAUX ONT ETE CONCUS POUR ETRE ROBUSTES VIS-A-VIS DES ERREURS DE PERCEPTION ET DE LA NATURE DISCONTINUE DE LA PERCEPTION DE L'ENVIRONNEMENT. ILS PRENNENT EGALEMENT EN COMPTE LE FAIT QUE LE ROBOT NE DECOUVRE SON ENVIRONNEMENT QU'AU FUR ET A MESURE DE SES DEPLACEMENTS. NOS CONCEPTS ONT ETE IMPLEMENTES DANS LE CADRE D'UNE SIMULATION DETAILLEE DU DEPLACEMENT DU ROBOT, DE SES CAPTEURS ET DE SON ENVIRONNEMENT. APRES UNE PRESENTATION DE L'ETAT DE L'ART DANS LE DOMAINE, NOUS INTRODUISONS LES PRINCIPES FONDATEURS DE NOTRE APPROCHE. PUIS, NOUS PRESENTONS UNE ANALYSE THEORIQUE DE LA NAVIGATION EN TERRAIN ACCIDENTE, SUIVIE D'UN EXPOSE DES PRINCIPES ALGORITHMIQUES DE NOTRE SYSTEME DE NAVIGATION. ENFIN, LES RESULTATS OBTENUS A L'AIDE DE L'ENVIRONNEMENT DE SIMULATION ARCANE QUE NOUS AVONS DEVELOPPE SONT PRESENTES DANS LE DERNIER CHAPITRE
This book analyzes the set of forces driving the global financial system toward a period of radical transformation and explores the transformational challenges that lie ahead for global and regional or local banks and other financial intermediaries. It is explained how these challenges derive from the newly emerging post-crisis structure of the market and from shadow and digital players across all banking operations. Detailed attention is focused on the impacts of digitalization on the main functions of the financial system, and particularly the banking sector. The author elaborates how an alternative model of banking will enable banks to predict, understand, navigate, and change the external ecosystem in which they compete. The five critical components of this model are data and information mastering; effective use of applied analytics; interconnectivity and “junction playing”; development of new business solutions; and trust and credibility assurance. The analysis is supported by a number of informative case studies. The book will be of interest especially to top and middle managers and employees of banks and financial institutions but also to FinTech players and their advisers and others.
This prayer book was written over a two-year span. The prayers started one night when my daughter and I could not sync our time to pray together on one particular night in March 2017. While preparing for bed, the Lord said to me, "Just write a prayer and put it on Facebook". I did and the rest is history. You are now holding what it is that the Lord has done with these prayers. Each night with the exception of being away from home with no phone service, or during times of fasting, I wrote a prayer each night and posted them on Facebook. I have been told by many people along the way that they do not know how to pray. It is my prayer that this book will be a foundation for those who feel that they do not know how to pray or who simply need a prayer devotional.
This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images; evidences of new biophysical properties of microtubules; neural network applications in modern induction machine control systems and wavelet neural networks.