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Robots that duplicate themselves: Th...

The Johns Hopkins University.

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Robots that duplicate themselves: Theoretical principles and physical demonstrations.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Robots that duplicate themselves: Theoretical principles and physical demonstrations./
Author:	Lee, Kiju.
Description:	236 p.
Notes:	Adviser: Gregory S. Chirikjian.
Contained By:	Dissertation Abstracts International69-12B.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3340034
ISBN:	9780549943297

Robots that duplicate themselves: Theoretical principles and physical demonstrations.
Lee, Kiju.

Robots that duplicate themselves: Theoretical principles and physical demonstrations. - 236 p.

Adviser: Gregory S. Chirikjian.

Thesis (Ph.D.)--The Johns Hopkins University, 2009.

This dissertation primarily focuses on robotic self-replication including a theoretical framework and quantitative measures that can be applied to self-replicating systems. A new descriptive model for physical replicating systems is introduced based on three sets of components: an initial functional system, a set of resources, and a set of external elements. Robotic self-replication is viewed as a process by which an initial functional robot duplicates itself given a set of resource modules in a bounded environment.

ISBN: 9780549943297Subjects--Topical Terms:

783786
Engineering, Mechanical.

Robots that duplicate themselves: Theoretical principles and physical demonstrations.
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020 $a 9780549943297
035 $a (UMI)AAI3340034
035 $a AAI3340034
040 $a UMI $c UMI
100 1 $a Lee, Kiju. $3 1018490
245 1 0 $a Robots that duplicate themselves: Theoretical principles and physical demonstrations.
300 $a 236 p.
500 $a Adviser: Gregory S. Chirikjian.
500 $a Source: Dissertation Abstracts International, Volume: 69-12, Section: B, page: 7768.
502 $a Thesis (Ph.D.)--The Johns Hopkins University, 2009.
520 $a This dissertation primarily focuses on robotic self-replication including a theoretical framework and quantitative measures that can be applied to self-replicating systems. A new descriptive model for physical replicating systems is introduced based on three sets of components: an initial functional system, a set of resources, and a set of external elements. Robotic self-replication is viewed as a process by which an initial functional robot duplicates itself given a set of resource modules in a bounded environment.
520 $a In order to assess physical self-replicating systems with respect to their structural properties and performance, two quantitative measures are defined. The first is the degree of self-replication which is a combined measure of structural complexity distribution across the modules and the ratio of the robot's complexity to the complexity of the modules. This quantifies an intuitive notion of many simple parts versus a few complex parts. The second is configurational entropy changes resulting from the self-replication process. Configurational entropy is used to measure the amount of uncertainty in the locations of modules. Entropy is also applied for articulated chains by using Fixman's method to compute the mass-metric tensor determinant (MMTD). This dissertation also presents a further extension of Fixman's method to compute the inverse of the generalized mass matrix for serial manipulators and polymer chains.
520 $a Building on previous experimental work, two new self-replicating robots are constructed and presented in this dissertation. The first prototype contains an initial functional robot, a set of modules to form a replica, and a structured environment including tracks, barcodes, contact codes, etc. This system duplicates itself in a similar fashion to the previous prototypes developed in the Robot and Protein Kinematics Laboratory at Johns Hopkins University. However, it shows a progression toward a robot consisting of an increased number of modules while performing more complex tasks. The second prototype duplicates itself through mitosis. This system has several unique properties including its mechanical design and self-replication strategy that distinguish it from any other existing systems.
590 $a School code: 0098.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0548
690 $a 0771
710 2 $a The Johns Hopkins University. $3 1017431
773 0 $t Dissertation Abstracts International $g 69-12B.
790 $a 0098
790 1 0 $a Chirikjian, Gregory S., $e advisor
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3340034