000			03749nam a2200433 i 4500
001			51389
003			0000000000
005			20240411193307.0
008			180202s2018 sz s 000 0 eng d
020			_a3319625322 _qpaperback
020			_a9783319625324 _qpaperback
035			_a(OCoLC)1022637741 _z(OCoLC)989966542
035			_a(Uk)019090442
040			_aYDX _beng _cYDX _dOCLCO _dICU _dBNG _dOCL _dBTCTA _dBDX _dAJB _dUk _erda
042			_aukblderived
050		4	_aTJ211 _b.B46 2018
082	0	4	_a629.892 _223
100	1		_aBen-Ari, Mordechai, _d1948- _eauthor.
245	1	0	_aElements of robotics / _cMordechai Ben-Ari, Francesco Mondada.
264		1	_aCham, Switzerland : _bSpringerOpen, _c[2018]
300			_axvi, 308 pages : _billustrations (some color) ; _c24 cm.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_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.
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.
650		0	_aArtificial intelligence.
650		0	_aAutomation.
650		0	_aComputer science.
650		0	_aRobotics.
650		7	_aArtificial intelligence _2fast _0(OCoLC)fst00817247.
650		7	_aAutomation _2fast _0(OCoLC)fst00822786.
650		7	_aComputer science _2fast _0(OCoLC)fst00872451.
650		7	_aRobotics _2fast _0(OCoLC)fst01098997.
700	1		_aMondada, Francesco, _eauthor.
856			_uhttps://drive.google.com/file/d/1idzlrI-6IElFa3gd8qZQJtRe340BEgsJ/view?usp=sharing
999			_c16558 _d16558