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

Exploration-based design synthesis o...

Ali, Muhammad Muazzam.

Linked to FindBook

Google Book

Amazon

博客來

Exploration-based design synthesis of behavior-based autonomous robots.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploration-based design synthesis of behavior-based autonomous robots./
Author:	Ali, Muhammad Muazzam.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 55-11, Section: B, page: 5030.
Contained By:	Dissertation Abstracts International55-11B.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9509620

Exploration-based design synthesis of behavior-based autonomous robots.
Ali, Muhammad Muazzam.

Exploration-based design synthesis of behavior-based autonomous robots. - 142 p.

Source: Dissertation Abstracts International, Volume: 55-11, Section: B, page: 5030.

Thesis (Ph.D.)--Colorado State University, 1994.

Behavior-based robot control is a relatively new, but accepted, concept for building autonomous robots. Several different kinds of proof-of-concept robots using the so-called subsumption architecture have been demonstrated. These robots have been shown to solve some fairly difficult tasks in unstructured and uncertain domains. The initial results are very promising, but much remains as to an underlying understanding for designing and implementing behavior-based robot control. Subsumption architecture utilizes a biological metaphor to build autonomous robots and relies upon an evolutionary-styled bottom up and incremental design approach to incorporate biological-like robustness into the robotic systems. This dissertation argues that evolution is not an engineering design practice. As such, a rational mapping between concept to implementation is necessary to effectively design and construct robust robots for real world applications.Subjects--Topical Terms:

783786
Engineering, Mechanical.

Exploration-based design synthesis of behavior-based autonomous robots.
LDR:02687nmm 2200289 4500 001 1844744
005 20051017075510.5
008 130614s1994 eng d
035 $a (UnM)AAI9509620
035 $a AAI9509620
040 $a UnM $c UnM
100 1 $a Ali, Muhammad Muazzam. $3 1932930
245 1 0 $a Exploration-based design synthesis of behavior-based autonomous robots.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 55-11, Section: B, page: 5030.
502 $a Thesis (Ph.D.)--Colorado State University, 1994.
520 $a Behavior-based robot control is a relatively new, but accepted, concept for building autonomous robots. Several different kinds of proof-of-concept robots using the so-called subsumption architecture have been demonstrated. These robots have been shown to solve some fairly difficult tasks in unstructured and uncertain domains. The initial results are very promising, but much remains as to an underlying understanding for designing and implementing behavior-based robot control. Subsumption architecture utilizes a biological metaphor to build autonomous robots and relies upon an evolutionary-styled bottom up and incremental design approach to incorporate biological-like robustness into the robotic systems. This dissertation argues that evolution is not an engineering design practice. As such, a rational mapping between concept to implementation is necessary to effectively design and construct robust robots for real world applications.
520 $a Contrasted with subsumption architecture, an exploration-based design synthesis approach is utilized in this dissertation. This approach is principled, well-practiced, and provides an inherently continuous process of understanding how to transform the Behavior-Based Robot Control concept into a systematic design methodology. Practicality of this approach is being verified by developing a control architecture for the Mars Micro-Rover with the attributes of a Behavior-Based robot.
520 $a Exploration-based design synthesis has far-reaching implications when applied to the Behavior-Based Robot Control domain working knowledge. An immediate benefit is the ability to express this working knowledge formally, which provides a means to better understand and to address yet unknown areas of Behavior-Based Robot Control such as the complexity of mediation mechanisms or properties of emergent behaviors.
590 $a School code: 0053.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Artificial Intelligence. $3 769149
690 $a 0548
690 $a 0329
690 $a 0790
690 $a 0800
710 2 0 $a Colorado State University. $3 675646
773 0 $t Dissertation Abstracts International $g 55-11B.
790 $a 0053
791 $a Ph.D.
792 $a 1994
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9509620