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000824813 0247_ $$a10.1007/978-3-319-62533-1$$2doi
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000824813 050_4 $$aTJ210.2-211.495
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000824813 1001_ $$aBen-Ari, Mordechai,$$eauthor.
000824813 24510 $$aElements of Robotics /$$cby Mordechai Ben-Ari, Francesco Mondada.
000824813 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint :$$bSpringer,$$c2018.
000824813 300__ $$a1 online resource (xvi, 308 pages) :$$billustrations
000824813 336__ $$atext$$btxt$$2rdacontent
000824813 337__ $$acomputer$$bc$$2rdamedia
000824813 338__ $$aonline resource$$bcr$$2rdacarrier
000824813 347__ $$atext file$$bPDF$$2rda
000824813 504__ $$aIncludes bibliographical references and index.
000824813 5050_ $$aRobots and their Applications -- Sensors -- Reactive Behavior -- Finite State Machines -- Robotic Motion and Odometry -- Control -- Local Navigation: Obstacle Avoidance -- Localization -- Mapping -- Mapping-based Navigation -- Fuzzy Logic Control -- Image Processing -- Neural Networks -- Machine Learning -- Swarm Robotics -- Kinematics of a Robotic Manipulator -- Appenix A:Units of Measurement -- Appendix B:Mathematical Derivations and Tutorials -- Index.
000824813 506__ $$aOpen access.$$5GW5XE
000824813 506__ $$aAccess limited to authorized users.
000824813 520__ $$aThis book is open access under a CC BY 4.0 license. This book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations. Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic algorithms: simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced study of robotics. The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robot is defined that uses elements common to most educational robots: differential drive with two motors, proximity sensors and some method of displaying output to the use. The theory is supplemented with over 100 activities, most of which can be successfully implemented using inexpensive educational robots. Activities that require more computation can be programmed on a computer. Archives are available with suggested implementations for the Thymio robot and standalone programs in Python.
000824813 650_0 $$aComputer science.
000824813 650_0 $$aArtificial intelligence.
000824813 650_0 $$aAlgorithms.
000824813 650_0 $$aRobotics.
000824813 650_0 $$aAutomation.
000824813 7001_ $$aMondada, Francesco,$$eauthor.
000824813 77608 $$iPrint version: $$z9783319625324
000824813 852__ $$bebk
000824813 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-62533-1$$zOnline Access$$91397441.1
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