| 000 | 02932Cam#a22004815i#4500 | ||
|---|---|---|---|
| 001 | INGC-EBK-000246 | ||
| 003 | AR-LpUFI | ||
| 005 | 20220927105732.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 130928s2014 gw | s |||| 0|eng d | ||
| 020 | _a9783319018331 | ||
| 024 | 7 |
_a10.1007/978-3-319-01833-1 _2doi |
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| 050 | 4 | _aTJ210.2-211.495 | |
| 050 | 4 | _aT59.5 | |
| 072 | 7 |
_aTJFM1 _2bicssc |
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| 072 | 7 |
_aTEC037000 _2bisacsh |
|
| 072 | 7 |
_aTEC004000 _2bisacsh |
|
| 100 | 1 |
_aLeón, Beatriz. _9260546 |
|
| 245 | 1 | 0 |
_aFrom Robot to Human Grasping Simulation _h[libro electrónico] / _cby Beatriz León, Antonio Morales, Joaquín Sancho-Bru. |
| 260 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014. |
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| 300 |
_ax, 261 p. 132 : _bil. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aCognitive Systems Monographs, _x1867-4925 ; _v19 |
|
| 520 | _aThe human hand and its dexterity in grasping and manipulating objects are some of the hallmarks of the human species. For years, anatomic and biomechanical studies have deepened the understanding of the human handâ_Ts functioning and, in parallel, the robotics community has been working on the design of robotic hands capable of manipulating objects with a performance similar to that of the human hand. However, although many researchers have partially studied various aspects, to date there has been no comprehensive characterization of the human handâ_Ts function for grasping and manipulation of everyday life objects. This monograph explores the hypothesis that the confluence of both scientific fields, the biomechanical study of the human hand and the analysis of robotic manipulation of objects, would greatly benefit and advance both disciplines through simulation. Therefore, in this book, the current knowledge of robotics and biomechanics guides the design and implementation of a simulation framework focused on manipulation interactions that allows the study of the grasp through simulation. As a result, a valuable framework for the study of the grasp, with relevant applications in several fields such as robotics, biomechanics, ergonomics, rehabilitation and medicine, has been made available to these communities. | ||
| 650 | 0 |
_aBioinformatics. _9260231 |
|
| 650 | 0 |
_aRobotics. _9259596 |
|
| 650 | 0 |
_aAutomation. _9259787 |
|
| 650 | 1 | 4 |
_aEngineering. _9259622 |
| 650 | 2 | 4 |
_aComputational Intelligence. _9259845 |
| 650 | 2 | 4 |
_aComputational Biology _9260232 |
| 650 | 2 | 4 |
_aBiomedical Engineering. _9259661 |
| 700 | 1 |
_aMorales, Antonio. _9260547 |
|
| 700 | 1 |
_aSancho-Bru, Joaquín, _9260548 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783319018324 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-01833-1 |
| 912 | _aZDB-2-ENG | ||
| 929 | _aCOM | ||
| 942 | _cEBK | ||
| 999 |
_aSKV _c27674 _d27674 |
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