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020 _a9783031327971
_9978-3-031-32797-1
024 7 _a10.1007/978-3-031-32797-1
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aBräunl, Thomas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMobile Robot Programming
_h[electronic resource] :
_bAdventures in Python and C /
_cby Thomas Bräunl.
250 _a2nd ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aIX, 191 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aBuilding Robots -- Robot Programming -- Driving Algorithms -- Lidar Sensors -- Robot Swarms -- Wall Following -- Alternative Drive Systems -- Submarines and Boats -- Mazes -- Navigation Algorithms -- Robot Vision -- Starman -- Autonomous Driving -- Automotive Robots -- Formula SAE -- Outlook -- Appendix.
520 _aThis book emphasizes software design as the most important topic in modern robotics and demonstrates practical code examples in Python and C. The book introduces the free simulation system EyeSim in combination with EyeBot robots, which can be built from inexpensive embedded processors, sensors and motors – or by adapting the control inputs of model cars. EyeSim is a free software for MacOS, Windows and Linux, which uses a realistic physics simulation engine and is source-code compatible to the EyeBot mobile robots. So, each robot program can first be tested on the simulator before running it on a real robot. EyeSim includes modules for driving, walking, swimming and diving robots, as well as for robot manipulators. EyeSim also runs on the Meta/Oculus Quest, providing a fully immersive robotics experience in virtual reality. Beginning with simple driving algorithms and sensor data processing for distance sensors, Lidar and camera, the book progresses to more complex localization and navigation tasks, as well as vision-based navigation and genetic algorithms. It concludes with artificial intelligence applications for mobile robots in traffic scenarios and full-size autonomous vehicles. This book is suitable as a text for undergraduate and graduate courses in Robotics, Automation and Artificial Intelligence, as well as a self-study guide for practitioners and hobbyists. All robot application programs in this book are available as free downloads for MacOS, Windows, Linux, and Raspberry Pi OS.
650 0 _aArtificial intelligence.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 1 4 _aArtificial Intelligence.
650 2 4 _aControl, Robotics, Automation.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031327964
776 0 8 _iPrinted edition:
_z9783031327988
856 4 0 _uhttps://doi.org/10.1007/978-3-031-32797-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178933
_d178933