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001 978-3-319-03707-3
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008 140110s2014 gw | s |||| 0|eng d
020 _a9783319037073
_9978-3-319-03707-3
024 7 _a10.1007/978-3-319-03707-3
_2doi
050 4 _aTJ210.2-211.495
050 4 _aTJ163.12
072 7 _aTJFM
_2bicssc
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_2bicssc
072 7 _aTEC004000
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072 7 _aTEC037000
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082 0 4 _a629.8
_223
100 1 _aBestaoui Sebbane, Yasmina.
_eauthor.
245 1 0 _aPlanning and Decision Making for Aerial Robots
_h[electronic resource] /
_cby Yasmina Bestaoui Sebbane.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXX, 406 p. 17 illus., 14 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 _aIntelligent Systems, Control and Automation: Science and Engineering,
_x2213-8986 ;
_v71
505 0 _aPreface -- 1 Introduction -- 2 Motion Planning -- 3 Deterministic Decision Making -- 4 Decision Making Under Uncertainty -- 5 Multi Aerial Robot Planning -- 6 General Conclusions -- Index.
520 _aThis book provides an introduction to the emerging field of planning and decision making for aerial robots. An aerial robot is the ultimate form of Unmanned Aerial Vehicle, an aircraft endowed with built-in intelligence, requiring no direct human control and able to perform a specific task. It must be able to fly within a partially structured environment, to react and adapt to changing environmental conditions and to accommodate for the uncertainty that exists in the physical world. An aerial robot can be termed as a physical agent that exists and flies in the real 3D world, can sense its environment and act on it to achieve specific goals. So throughout this book, an aerial robot will also be termed as an agent.   Fundamental problems in aerial robotics include the tasks of spatial motion, spatial sensing and spatial reasoning. Reasoning in complex environments represents a difficult problem. The issues specific to spatial reasoning are planning and decision making. Planning deals with the trajectory algorithmic development based on the available information, while decision making determines priorities and evaluates potential environmental uncertainties.   The issues specific to planning and decision making for aerial robots in their environment are examined in this book and categorized as follows: motion planning, deterministic decision making, decision making under uncertainty, and finally multi-robot planning. A variety of techniques  are presented in this book, and a number of relevant case studies are examined. The topics considered in this book are multidisciplinary in nature and lie at the intersection of Robotics, Control Theory, Operational Research and Artificial Intelligence.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aAerospace engineering.
650 0 _aAstronautics.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aAerospace Technology and Astronautics.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319037066
830 0 _aIntelligent Systems, Control and Automation: Science and Engineering,
_x2213-8986 ;
_v71
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-03707-3
912 _aZDB-2-ENG
942 _cEBK
999 _c57051
_d57051