| 000 | 04499nam a22005535i 4500 | ||
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| 999 |
_c11664 _d11664 |
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| 001 | 978-3-319-57828-6 | ||
| 003 | DE-He213 | ||
| 005 | 20211129112159.0 | ||
| 008 | 170513s2017 gw | s |||| 0|eng d | ||
| 020 | _a9783319578286 | ||
| 040 | _cAIKTC-KRRC | ||
| 041 | _aENG | ||
| 072 | 7 |
_aTJFM _2bicssc |
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| 072 | 7 |
_aTEC004000 _2bisacsh |
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| 072 | 7 |
_aTJFM _2thema |
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| 082 | 0 | 4 |
_a629.8 _223 |
| 100 | 1 |
_aAranda, Miguel. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aControl of Multiple Robots Using Vision Sensors _h[electronic resource] / |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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| 300 |
_aXIII, 187 p. 75 illus., 58 illus. in color. _bCard Paper |
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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 |
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| 490 | 1 |
_aAdvances in Industrial Control, _x1430-9491 |
|
| 520 | _aThis monograph introduces novel methods for the control and navigation of mobile robots using multiple-1-d-view models obtained from omni-directional cameras. This approach overcomes field-of-view and robustness limitations, simultaneously enhancing accuracy and simplifying application on real platforms. The authors also address coordinated motion tasks for multiple robots, exploring different system architectures, particularly the use of multiple aerial cameras in driving robot formations on the ground. Again, this has benefits of simplicity, scalability and flexibility. Coverage includes details of: a method for visual robot homing based on a memory of omni-directional images a novel vision-based pose stabilization methodology for non-holonomic ground robots based on sinusoidal-varying control inputs an algorithm to recover a generic motion between two 1-d views and which does not require a third view a novel multi-robot setup where multiple camera-carrying unmanned aerial vehicles are used to observe and control a formation of ground mobile robots and three coordinate-free methods for decentralized mobile robot formation stabilization. The performance of the different methods is evaluated both in simulation and experimentally with real robotic platforms and vision sensors. Control of Multiple Robots Using Vision Sensors will serve both academic researchers studying visual control of single and multiple robots and robotics engineers seeking to design control systems based on visual sensors. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. | ||
| 650 | 0 |
_aEXTC Engineering _94619 |
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| 653 | _aAutomation. | ||
| 653 | _aImage Processing and Computer Vision. | ||
| 700 | 1 |
_aLópez-Nicolás, Gonzalo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aSagüés, Carlos. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319578279 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319578293 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319862606 |
| 830 | 0 |
_aAdvances in Industrial Control, _x1430-9491 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-319-57828-6 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) |
| 942 |
_cEBOOKS _2ddc |
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