04483 am 22006973u 450 991023124530332120230125213858.03-319-62533-010.1007/978-3-319-62533-1(CKB)4100000000882150(DE-He213)978-3-319-62533-1(MiAaPQ)EBC5588954(Au-PeEL)EBL5588954(OCoLC)1066190506(PPN)258872551(oapen)https://directory.doabooks.org/handle/20.500.12854/60890(PPN)220127964(EXLCZ)99410000000088215020171026d2018 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierElements of Robotics[electronic resource] /by Mordechai Ben-Ari, Francesco Mondada1st ed. 2018.Springer Nature2017Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XVI, 308 p. 198 illus., 76 illus. in color.)3-319-62532-2 Robots 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.This 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.Artificial intelligenceAlgorithmsRoboticsAutomationArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Algorithmshttps://scigraph.springernature.com/ontologies/product-market-codes/M14018Robotics and Automationhttps://scigraph.springernature.com/ontologies/product-market-codes/T19020algorithmsdecision makingroboticsautonomous mobile robotsBraitenberg creaturesArtificial intelligence.Algorithms.Robotics.Automation.Artificial Intelligence.Algorithms.Robotics and Automation.006.3Ben-Ari Mordechaiauthttp://id.loc.gov/vocabulary/relators/aut5385Mondada Francescoauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910231245303321Elements of Robotics2245305UNINA