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| 999 |
_c395255 _d395255 |
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| 001 | 395255 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230113183843.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210803s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811635755 | ||
| 024 | 7 |
_a10.1007/978-981-16-3575-5 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTJ211 _b2022 EB |
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| 100 | 1 |
_aQiao, Hong _eautor _9685973 |
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| 245 | 1 | 4 |
_aThe "Hand-eye-brain" System of Intelligent Robot : _bFrom Interdisciplinary Perspective of Information Science and Neuroscience _cby Hong Qiao, Chao Ma, Rui Li |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
|
| 300 |
_a1 recurso en línea (XI, 178 páginas) _b114 ilustraciones, 90 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aResearch on Intelligent Manufacturing _x2523-3394 |
|
| 505 | 0 | _aIntroduction -- The Concept of "Attractive Region in Environment (ARIE)" and its Application in High-precision Tasks with Low-precision Systems -- The Compliance of Robotic Hands and Human-inspired Motion Model of Upper-limb with Fast Response and Learning Ability -- Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking -- Explicit Nonlinear Mapping for Manifold Learning with Neighborhood preserving polynomial embedding -- Biologically Inspired Visual Model with Memory and Association Mechanism -- Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment -- Biologically Inspired Visual Cognition Model with Unsupervised Episodic and Semantic Feature Learning -- Conclusions and Future Research Directions. | |
| 520 | _aThis book reports the new results of intelligent robot with hand-eye-brain, from the interdisciplinary perspective of information science and neuroscience. It collects novel research ideas on attractive region in environment (ARIE), intrinsic variable preserving manifold learning (IVPML) and biologically inspired visual congnition, which are theoretically important but challenging to develop the intelligent robot. Furthermore, the book offers new thoughts on the possible future development of human-inspired robotics, with vivid illustrations. The book is useful for researchers, R&D engineers and graduate students working on intelligent robots. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9160676 _aRobótica |
|
| 650 | 7 |
_2embne _9149839 _aInterfaces de usuario |
|
| 650 | 7 |
_2embne _9158907 _aNeurociencias |
|
| 700 | 1 |
_9100668 _aMa, Chao _eautor |
|
| 700 | 1 |
_9678836 _aLi, Rui _eautor |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9789811635748 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811635762 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811635779 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3575-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2023 _dz _eu _zSI |
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