| 000 | 01698cam a22002658i 4500 | ||
|---|---|---|---|
| 999 |
_c235754 _d235753 |
||
| 001 | 20453542 | ||
| 003 | MX-MeUAM | ||
| 005 | 20190919110745.0 | ||
| 008 | 180416s2019 flua b 001 0 eng | ||
| 020 | _a9780815378686 | ||
| 020 | _z9781351231794 (ebook) | ||
| 040 |
_aMX-MeUAM _bspa |
||
| 050 | 4 |
_aTJ211.35 _bA73 2018 |
|
| 100 | 1 |
_aArana-Daniel, Nancy _eauthor. _918271 |
|
| 245 | 1 | 0 |
_aNeural networks for robotics : _ban engineering perspective / _cNancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis. |
| 260 |
_aFlorida : _bCRC press, _c2019 |
||
| 300 |
_axvii, 207 p. : _bil. ; _c25 cm. |
||
| 500 | _a"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." | ||
| 504 | _aincluye referencias bibliográficas e indice | ||
| 520 |
_aThe book offers the reader the insight on artificial neural networks for giving a robot a high level of autonomy tasks such as navigation, object recognition, and clustering, with real-time implementations. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures to solve different kinds of problems encountered in autonomous navigation and object recognition problems. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control-- _cProvided by publisher. |
||
| 650 | 7 |
_aRobots _xsistemas de control _2lemb |
|
| 700 | 1 |
_aLopez-Franco, Carlos _ecoaut. _918272 |
|
| 700 | 1 |
_aAlanis, Alma Y. _ecoaut. _918273 |
|
| 942 | _cLIBRO | ||