000 04435nam a22006015i 4500
001 978-3-319-57828-6
003 DE-He213
005 20220801215155.0
007 cr nn 008mamaa
008 170513s2017 sz | s |||| 0|eng d
020 _a9783319578286
_9978-3-319-57828-6
024 7 _a10.1007/978-3-319-57828-6
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aAranda, Miguel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942768
245 1 0 _aControl of Multiple Robots Using Vision Sensors
_h[electronic resource] /
_cby Miguel Aranda, Gonzalo López-Nicolás, Carlos Sagüés.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIII, 187 p. 75 illus., 58 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x2193-1577
505 0 _aIntroduction -- Angle-based Navigation using the 1D Trifocal Tensor -- Vision-based Control for Nonholonomic Vehicles -- Controlling Mobile Robot Teams from 1D Homographies -- Control of Mobile Robot Formations using Aerial Cameras -- Coordinate-free Control of Multirobot Formations -- Conclusions and Directions for Future Research.
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 _aControl engineering.
_931970
650 0 _aComputer vision.
_942769
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aComputer Vision.
_942770
650 2 4 _aControl, Robotics, Automation.
_931971
700 1 _aLópez-Nicolás, Gonzalo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942771
700 1 _aSagüés, Carlos.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942772
710 2 _aSpringerLink (Online service)
_942773
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,
_x2193-1577
_942774
856 4 0 _uhttps://doi.org/10.1007/978-3-319-57828-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77189
_d77189