東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Distributed evolution for swarm robo...

Hettiarachchi, Suranga D.

Linked to FindBook

Google Book

Amazon

博客來

Distributed evolution for swarm robotics.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Distributed evolution for swarm robotics./
Author:	Hettiarachchi, Suranga D.
Description:	202 p.
Notes:	Adviser: William M. Spears.
Contained By:	Dissertation Abstracts International68-12B.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3291048
ISBN:	9780549356943

Distributed evolution for swarm robotics.
Hettiarachchi, Suranga D.

Distributed evolution for swarm robotics. - 202 p.

Adviser: William M. Spears.

Thesis (Ph.D.)--University of Wyoming, 2007.

Traditional approaches to designing multi-agent systems are offline, in simulation, and assume the presence of a global observer. Artificial Physics (AP) or physicomimetics can be used to self-organize swarms of mobile robots into formations that move towards a goal. Using an offline approach, we extend the AP framework to moving formations through obstacle fields. We provide important metrics of performance that allow us to (a) compare the utility of different generalized force laws in the artificial physics framework, (b) examine trade-offs between different metrics, and (c) provide a detailed method of comparison for future researchers in this area.

ISBN: 9780549356943Subjects--Topical Terms:

769149
Artificial Intelligence.

Distributed evolution for swarm robotics.
LDR:02761nam 2200361 a 45 001 958986
005 20110704
008 110704s2007 ||||||||||||||||| ||eng d
020 $a 9780549356943
035 $a (UMI)AAI3291048
035 $a AAI3291048
040 $a UMI $c UMI
100 1 $a Hettiarachchi, Suranga D. $3 1282453
245 1 0 $a Distributed evolution for swarm robotics.
300 $a 202 p.
500 $a Adviser: William M. Spears.
500 $a Source: Dissertation Abstracts International, Volume: 68-12, Section: B, page: 8129.
502 $a Thesis (Ph.D.)--University of Wyoming, 2007.
520 $a Traditional approaches to designing multi-agent systems are offline, in simulation, and assume the presence of a global observer. Artificial Physics (AP) or physicomimetics can be used to self-organize swarms of mobile robots into formations that move towards a goal. Using an offline approach, we extend the AP framework to moving formations through obstacle fields. We provide important metrics of performance that allow us to (a) compare the utility of different generalized force laws in the artificial physics framework, (b) examine trade-offs between different metrics, and (c) provide a detailed method of comparison for future researchers in this area.
520 $a In the online, real world, a global observer may be absent, performance feedback may be delayed or perturbed by noise, agents may only interact with their local neighbors, and only a subset of agents may experience any form of performance feedback. Under these constraints, designing multi-agent systems is difficult. We present a novel approach called "Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios'' or DAEDALUS to address these issues, by mimicking more closely the actual dynamics of populations of agents moving and interacting in a (task) environment.
520 $a This thesis merges DAEDALUS and AP by using obstacle avoidance as a case study to illustrate the feasibility of DAEDALUS when the environment changes. We present empirical and practical results that address (a) offline vs. online learning, (b) obstructed perception, (c) homogeneous vs. heterogeneous agent cooperation, and (d) implementation of obstacle avoidance with real robots.
590 $a School code: 0264.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0771
690 $a 0800
690 $a 0984
710 2 $a University of Wyoming. $b Computer Science. $3 1282454
773 0 $t Dissertation Abstracts International $g 68-12B.
790 $a 0264
790 1 0 $a Anderson-Sprecher, Richard C. $e committee member
790 1 0 $a Bailey, Thomas A., Jr. $e committee member
790 1 0 $a Spears, Diana F. $e committee member
790 1 0 $a Spears, William M., $e advisor
790 1 0 $a Thayer, David R. $e committee member
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3291048