000			03733nam a22003855i 4500
001			290842
003			MX-SnUAN
005			20170705134222.0
007			cr nn 008mamaa
008			150903s2010 xxk| o |||| 0|eng d
020			_a9781849962209 _99781849962209
024	7		_a10.1007/9781849962209 _2doi
035			_avtls000344661
039		9	_a201509030404 _bVLOAD _c201405050310 _dVLOAD _y201402061303 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ210.2-211.495
100	1		_aHarada, Kensuke. _eeditor. _9321799
245	1	0	_aMotion Planning for Humanoid Robots / _cedited by Kensuke Harada, Eiichi Yoshida, Kazuhito Yokoi.
264		1	_aLondon : _bSpringer London, _c2010.
300			_axvI, 320 páginas 157 ilustraciones, 5 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aNavigation and Gait Planning -- Compliant Control of Whole-body Multi-contact Behaviors in Humanoid Robots -- Whole-body Motion Planning – Building Blocks for Intelligent Systems -- Planning Whole-body Humanoid Locomotion, Reaching, and Manipulation -- Efficient Motion and Grasp Planning for Humanoid Robots -- Multi-contact Acyclic Motion Planning and Experiments on HRP-2 Humanoid -- Motion Planning for a Humanoid Robot Based on a Biped Walking Pattern Generator -- Autonomous Manipulation of Movable Obstacles -- Multi-modal Motion Planning for Precision Pushing on a Humanoid Robot -- A Motion Planning Framework for Skill Coordination and Learning.
520			_aResearch on humanoid robots has been mostly with the aim of developing robots that can replace humans in the performance of certain tasks. Motion planning for these robots can be quite difficult, due to their complex kinematics, dynamics and environment. It is consequently one of the key research topics in humanoid robotics research and the last few years have witnessed considerable progress in the field. Motion Planning for Humanoid Robots surveys the remarkable recent advancement in both the theoretical and the practical aspects of humanoid motion planning. Various motion planning frameworks are presented in Motion Planning for Humanoid Robots, including one for skill coordination and learning, and one for manipulating and grasping tasks. The problem of planning sequences of contacts that support acyclic motion in a highly constrained environment is addressed and a motion planner that enables a humanoid robot to push an object to a desired location on a cluttered table is described. The main areas of interest include: • whole body motion planning, • task planning, • biped gait planning, and • sensor feedback for motion planning. Torque-level control of multi-contact behavior, autonomous manipulation of moving obstacles, and movement control and planning architecture are also covered. Motion Planning for Humanoid Robots will help readers to understand the current research on humanoid motion planning. It is written for industrial engineers, advanced undergraduate and postgraduate students.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aYoshida, Eiichi. _eeditor. _9321800
700	1		_aYokoi, Kazuhito. _eeditor. _9321801
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781849962193
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-220-9 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c290842 _d290842