| 000 | 03473nam a22004095i 4500 | ||
|---|---|---|---|
| 999 |
_c120654 _d120654 |
||
| 001 | 120654 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102114053.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 200430s2020 gw a o |||| 0|eng d | ||
| 020 | _a9783658301095 | ||
| 024 | 7 |
_a10.1007/978-3-658-30109-5 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aVM595 _b2020 EB |
|
| 100 | 1 |
_aGlotzbach, Thomas _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9674879 |
|
| 245 | 1 | 0 |
_aNavigation of Autonomous Marine Robots : _bNovel Approaches Using Cooperating Teams _cby Thomas Glotzbach |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aWiesbaden _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg _c2020 |
|
| 300 |
_a1 recurso en línea (XXX, 366 páginas) _b170 ilustraciones, 22 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_aArchivo de texto _bPDF |
||
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aNavigation in Marine Robotics: Methods, Classification, and State of the Art -- Problem Formulation and Definitions -- Mathematical Tools from Control and Systems Engineering -- Methods for Cooperative Navigation -- Optimal Sensor Placement in Marine Robotics -- Combination of Cooperative Navigation and Optimal Sensor Placement. | |
| 520 | 3 | _aThomas Glotzbach spotlights that navigation within marine robotics can benefit from cooperative teams in a way that justifies the increased effort to operate several vehicles at once. He features discussions of different scenarios, modeling of systems, and estimation algorithms for comparable situations. The chapter on the used methodologies may allow a reader with only basic knowledge in control theory to obtain deeper insight in advanced concepts such as observability and state estimation, even without any background in marine robotics. Contents Navigation in Marine Robotics: Methods, Classification, and State of the Art Problem Formulation and Definitions Mathematical Tools from Control and Systems Engineering Methods for Cooperative Navigation Optimal Sensor Placement in Marine Robotics Combination of Cooperative Navigation and Optimal Sensor Placement Target Groups Researchers and students in the fields of automation, control systems, electrical and computational engineering Practitioners in marine robotics, mobile systems The Author Dr. Thomas Glotzbach obtained experience in maritime robotics as researcher at Technische Universität Ilmenau, Germany (doctoral and habilitation degree) and at Instituto Superior Técnico, Lisbon, Portugal. Since September 2019, he has been Professor of Control Engineering and Robotics at Technische Hochschule Mittelhessen - University of Applied Sciences, Germany. | |
| 988 | _aSpringer_Robotics_23062020 | ||
| 650 | 7 |
_2embne _9138953 _aIngeniería naval |
|
| 650 | 7 |
_2embne _aRobótica _9160676 |
|
| 710 | 2 |
_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783658301088 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658301101 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-30109-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b07/2020 _dz _eIG _zSI |
||