LEADER 04483 am 22006973u 450 001 9910231245303321 005 20230125213858.0 010 $a3-319-62533-0 024 7 $a10.1007/978-3-319-62533-1 035 $a(CKB)4100000000882150 035 $a(DE-He213)978-3-319-62533-1 035 $a(MiAaPQ)EBC5588954 035 $a(Au-PeEL)EBL5588954 035 $a(OCoLC)1066190506 035 $z(PPN)258872551 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60890 035 $a(PPN)220127964 035 $a(EXLCZ)994100000000882150 100 $a20171026d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aElements of Robotics$b[electronic resource] /$fby Mordechai Ben-Ari, Francesco Mondada 205 $a1st ed. 2018. 210 $cSpringer Nature$d2017 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVI, 308 p. 198 illus., 76 illus. in color.) 311 $a3-319-62532-2 327 $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. 330 $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. 606 $aArtificial intelligence 606 $aAlgorithms 606 $aRobotics 606 $aAutomation 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 610 $aalgorithms 610 $adecision making 610 $arobotics 610 $aautonomous mobile robots 610 $aBraitenberg creatures 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aRobotics. 615 0$aAutomation. 615 14$aArtificial Intelligence. 615 24$aAlgorithms. 615 24$aRobotics and Automation. 676 $a006.3 700 $aBen-Ari$b Mordechai$4aut$4http://id.loc.gov/vocabulary/relators/aut$05385 702 $aMondada$b Francesco$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910231245303321 996 $aElements of Robotics$92245305 997 $aUNINA