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008			220125s2022 sz | s |||| 0|eng d
020			_a9783030925215
024	7		_a10.1007/978-3-030-92521-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ212-225 _b2022 EB
050		4	_aTJ210.2-211.495 _b2022 EB
100	1		_aAverta, Giuseppe _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683274
245	1	0	_aHuman-Aware Robotics : _bModeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices _cby Giuseppe Averta
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVI, 276 páginas) _b130 ilustraciones, 121 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringer Tracts in Advanced Robotics _x1610-742X _v145
505	0		_aIntroduction -- Part I: Taming the Complexity of Human Motion Generation -- Understanding the Principal Modes of Natural Movements in Temporal Domain -- Quantifying the Time-Invariance Properties of Upper Limb Synergies -- Evidences on the Hierarchical Control of Human Hands -- Part II: On the Design of Nature-Inspired Prostheses and the Assessment of Motion Impairment -- Using Nature-Inspired Principles to Design of Robotic Limbs: the Soft Wrist -- A Novel Approach to Quantify Motion Impairment -- A novel mechatronic system for evaluating elbow muscular spasticity relying on Tonic Stretch Reflex Threshold estimation -- Part III: Transferring Human Principles to Cobots and Autonomous Robots -- Natural Motion: Embedding Human-Likeliness in Robot Movements -- A Focus on Motion Dynamics: Planning Impedance Behaviors in Physical Interaction -- Learning from Humans How to Grasp: a Reactive-Based Approach -- Learning from Humans How to Grasp: Enhancing the Reaching Strategy -- Learning to prevent grasp failure with soft hands: from on-line prediction to dual-arm grasp recovery -- Dexterity Augmentation of Robotic Hands: a Study on the Kinetic Domain -- Exploiting Principal Components for Robots Walking: an Approach for Sub-Optimal Locomotion -- Conclusions and Lessons Learned.
520			_aThis book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of human-robot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions. The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.
988			_aSpringer_Robotics_2022
650		7	_2embne _9160676 _aRobótica
650		7	_2embne _9140106 _aRobots
650		7	_2embne _9150602 _aMotricidad
776	0	8	_iPrinted edition: _z9783030925208
776	0	8	_iPrinted edition: _z9783030925222
776	0	8	_iPrinted edition: _z9783030925239
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-92521-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _esc _zSI