{"product_id":"introduction-to-autonomous-robots-isbn-9780262047555","title":"Introduction to Autonomous Robots","description":"\u003cb\u003eA comprehensive introduction to the field of autonomous robotics aimed at upper-level undergraduates and offering additional online resources.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eTextbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. \u003ci\u003eIntroduction to Autonomous Robots\u003c\/i\u003e offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use a class-tested and accessible approach to present progressive, step-by-step development concepts, alongside a wide range of real-world examples and fundamental concepts in mechanisms, sensing and actuation, computation, and uncertainty. Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy.\u003cbr\u003e \u003cbr\u003e\u003cu\u003e\u003cb\u003e\u003cb\u003eFeatures:\u003c\/b\u003e\u003c\/b\u003e\u003c\/u\u003e\u003cbr\u003e\u003cli\u003eRigorous and tested in the classroom\u003c\/li\u003e\u003cli\u003eWritten for engineering and computer science      undergraduates with a sophomore-level      understanding of linear algebra, probability theory, trigonometry, and statistics\u003c\/li\u003e\u003cli\u003eQR codes in the text guide readers to      online lecture videos and animations\u003c\/li\u003e\u003cli\u003eTopics include: basic concepts in robotic      mechanisms like locomotion and grasping, plus the resulting forces;      operation principles of sensors and actuators; basic algorithms for vision      and feature detection; an introduction to artificial neural networks,      including convolutional and recurrent variants\u003c\/li\u003e\u003cli\u003eExtensive appendices focus on project-based      curricula, pertinent areas of mathematics, backpropagation, writing a      research paper, and other topics\u003c\/li\u003e\u003cli\u003eA growing library of exercises in an      open-source, platform-independent simulation (Webots)\u003c\/li\u003ePreface xv\u003cbr\u003e1 Introduction 1\u003cbr\u003eI MECHANISMS 9\u003cbr\u003e2 Locomotion, Manipulation, and Their Representations 11\u003cbr\u003e3 Kinematics 27\u003cbr\u003e4 Forces 53\u003cbr\u003e5 Grasping 61\u003cbr\u003eII SENSING AND ACTUATION 71\u003cbr\u003e6 Actuators 73\u003cbr\u003e7 Sensors 81\u003cbr\u003eIII COMPUTATION 95\u003cbr\u003e8 Vision 97\u003cbr\u003e9 Feature Extraction 109\u003cbr\u003e10 Artificial Neural Networks 119\u003cbr\u003e11 Task Execution 139\u003cbr\u003e12 Mapping 155\u003cbr\u003e13 Path Planning 165\u003cbr\u003e14 Manipulation 179\u003cbr\u003eIV UNCERTAINTY 189\u003cbr\u003e15 Uncertainty and Error Propagation 191\u003cbr\u003e16 Localization 201\u003cbr\u003e17 Simultaneous Localization and Mapping 219\u003cbr\u003eV APPENDIXES\u003cbr\u003eA Trigonometry 233\u003cbr\u003eB Linear Algebra 235\u003cbr\u003eC Statistics 239\u003cbr\u003eD Backpropagation 247\u003cbr\u003eE How to Write a Research Paper 253\u003cbr\u003eF Sample Curricula 257\u003cbr\u003eReferences 265\u003cbr\u003eIndex 269Nikolaus Correll is Associate Professor of Computer Science at the University of Colorado Boulder. Bradley Hayes is Assistant Professor of Computer Science at the University of Colorado Boulder. Christoffer Heckman is Assistant Professor of Computer Science at the University of Colorado Boulder. Alessandro Roncone is Assistant Professor of Computer Science at the University of Colorado Boulder.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46301383688421,"sku":"NP9780262047555","price":65.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262047555.jpg?v=1767730142","url":"https:\/\/k12savings.com\/es\/products\/introduction-to-autonomous-robots-isbn-9780262047555","provider":"K12savings","version":"1.0","type":"link"}