國立虎尾科技大學 |

Visibility-based Optimal Path and Motion Planning

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Visibility-based Optimal Path and Motion Planning/ by Paul Keng-Chieh Wang.
作者:	Wang, Paul Keng-Chieh.
面頁冊數:	VIII, 198 p. 124 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-09779-4
ISBN:	9783319097794

Visibility-based Optimal Path and Motion Planning
Wang, Paul Keng-Chieh.

Visibility-based Optimal Path and Motion Planning[electronic resource] /by Paul Keng-Chieh Wang. - 1st ed. 2015. - VIII, 198 p. 124 illus.online resource. - Studies in Computational Intelligence,5681860-949X ;. - Studies in Computational Intelligence,564.

Visibility-Based Optimal Path and Motion Planning -- Mathematical Preliminaries -- Static Optimal Visibility Problems -- Visibility-based Optimal Path Planning -- Visibility-based Optimal Motion Planning -- Multiple Observer Cooperative & Non-Cooperative Optimal Motion Planning.

This monograph deals with various visibility-based path and motion planning problems motivated by real-world applications such as exploration and mapping planetary surfaces, environmental surveillance using stationary or mobile robots, and imaging of global air/pollutant circulation. The formulation and solution of these problems call for concepts and methods from many areas of applied mathematics including computational geometry, set-covering, non-smooth optimization, combinatorial optimization and optimal control. Emphasis is placed on the formulation of new problems and methods of approach to these problems. Since geometry and visualization play important roles in the understanding of these problems, intuitive interpretations of the basic concepts are presented before detailed mathematical development. The development of a particular topic begins with simple cases illustrated by specific examples, and then progresses forward to more complex cases. The intended readers of this monograph are primarily students and researchers in engineering, computer science and applied mathematics. An understanding of the mathematical development of the main results requires only basic knowledge of mathematical analysis, control, and optimization theories. Some exercises with various degrees of difficulty are provided at the end of the main chapters. The material presented here may serve as a portion of an introductory course or seminar on visibility-based optimal path and motion planning problems with the objective of stimulating interest and further studies in this relatively new area.

ISBN: 9783319097794

Standard No.: 10.1007/978-3-319-09779-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Visibility-based Optimal Path and Motion Planning
LDR:03259nam a22004095i 4500 001 968195
003 DE-He213
005 20200630001016.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319097794 $9 978-3-319-09779-4
024 7 $a 10.1007/978-3-319-09779-4 $2 doi
035 $a 978-3-319-09779-4
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Wang, Paul Keng-Chieh. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1062468
245 1 0 $a Visibility-based Optimal Path and Motion Planning $h [electronic resource] / $c by Paul Keng-Chieh Wang.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a VIII, 198 p. 124 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-949X ; $v 568
505 0 $a Visibility-Based Optimal Path and Motion Planning -- Mathematical Preliminaries -- Static Optimal Visibility Problems -- Visibility-based Optimal Path Planning -- Visibility-based Optimal Motion Planning -- Multiple Observer Cooperative & Non-Cooperative Optimal Motion Planning.
520 $a This monograph deals with various visibility-based path and motion planning problems motivated by real-world applications such as exploration and mapping planetary surfaces, environmental surveillance using stationary or mobile robots, and imaging of global air/pollutant circulation. The formulation and solution of these problems call for concepts and methods from many areas of applied mathematics including computational geometry, set-covering, non-smooth optimization, combinatorial optimization and optimal control. Emphasis is placed on the formulation of new problems and methods of approach to these problems. Since geometry and visualization play important roles in the understanding of these problems, intuitive interpretations of the basic concepts are presented before detailed mathematical development. The development of a particular topic begins with simple cases illustrated by specific examples, and then progresses forward to more complex cases. The intended readers of this monograph are primarily students and researchers in engineering, computer science and applied mathematics. An understanding of the mathematical development of the main results requires only basic knowledge of mathematical analysis, control, and optimization theories. Some exercises with various degrees of difficulty are provided at the end of the main chapters. The material presented here may serve as a portion of an introductory course or seminar on visibility-based optimal path and motion planning problems with the objective of stimulating interest and further studies in this relatively new area.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Control engineering. $3 1249728
650 0 $a Robotics. $3 561941
650 0 $a Mechatronics. $3 559133
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Control, Robotics, Mechatronics. $3 768396
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319097800
776 0 8 $i Printed edition: $z 9783319097787
776 0 8 $i Printed edition: $z 9783319356822
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-319-09779-4
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)