000			03562nam a22004215i 4500
001			978-0-387-09538-7
003			DE-He213
005			20250710083923.0
007			cr nn 008mamaa
008			110401s2009 xxu| s |||| 0|eng d
020			_a9780387095387 _a99780387095387
024	7		_a10.1007/978-0-387-09538-7 _2doi
100	1		_aFahimi, Farbod. _eauthor.
245	1	0	_aAutonomous Robots _h[recurso electrónico] : _bModeling, Path Planning, and Control / _cby Farbod Fahimi.
264		1	_aBoston, MA : _bSpringer US, _c2009.
300			_aXVIII, 329p. 86 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aRedundant Manipulators -- Hyper-Redundant Manipulators -- Obstacle Avoidance Using Harmonic Potential Functions -- Control of Manipulators -- Mobile Robots -- Autonomous Surface Vessels -- Autonomous Helicopters.
520			_aIt is at least two decades since the conventional robotic manipulators have become a common manufacturing tool for different industries, from automotive to pharmaceutical. The new generation of robots are now being developed that can be categorized in two groups; redundant (and hyper-redundant) manipulators, and mobile (ground, marine, and aerial) robots. These groups of robots, known as advanced robots, have more freedom for their mobility, which allows them to do tasks that the conventional robots cannot do. Engineers have taken advantage of the extra mobility of the advanced robots to make them work in constrained environments, ranging from limited joint motions for redundant (or hyper-redundant) manipulators to obstacles in the way of mobile (ground, marine, and aerial) robots. Autonomous Robots: Modeling, Path Planning, and Control covers the kinematics and dynamic modeling/analysis of Autonomous Robots, as well as the methods suitable for their control. Drawing upon years of experience and using numerous examples and illustrations, Farbod Fahimi discusses: The application of autonomous robots including but not limited to redundant and hyper-redundant manipulators, and ground, marine, and aerial robots. Position and velocity kinematics of redundant and hyper-redundant manipulators. Obstacle avoidance in 2D and 3D workspace using the potential field method. Kinematic and dynamic models of autonomous robots. Control methods such as PID, feedback linearization, sliding modes as applied to autonomous robots. Autonomous Robots: Modeling , Path Planning, and Control is suitable for mechanical and electrical engineers who want to familiarize themselves with methods of modeling/analysis/control that have been proven efficient through research. This book presents the theoretical tools for analyzing the dynamics of and controlling Autonomous Robots in a form comprehensible for students and engineers.
650		0	_aENGINEERING.
650		0	_aVIBRATION.
650		0	_aMECHANICAL ENGINEERING.
650		0	_aCONTROL ENGINEERING SYSTEMS.
650	1	4	_aENGINEERING.
650	2	4	_aVIBRATION, DYNAMICAL SYSTEMS, CONTROL.
650	2	4	_aCONTROL , ROBOTICS, MECHATRONICS.
650	2	4	_aMECHANICAL ENGINEERING.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387095370
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-09538-7 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c55960 _d55960