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Robot tool behavior: A developmental...

Stoytchev, Alexander.

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Robot tool behavior: A developmental approach to autonomous tool use.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Robot tool behavior: A developmental approach to autonomous tool use./
Author:	Stoytchev, Alexander.
Description:	277 p.
Notes:	Adviser: Ronald Arkin.
Contained By:	Dissertation Abstracts International68-07B.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3271597
ISBN:	9780549112471

Robot tool behavior: A developmental approach to autonomous tool use.
Stoytchev, Alexander.

Robot tool behavior: A developmental approach to autonomous tool use. - 277 p.

Adviser: Ronald Arkin.

Thesis (Ph.D.)--Georgia Institute of Technology, 2007.

The ability to use tools is one of the hallmarks of intelligence. Tool use is fundamental to human life and has been for at least the last two million years. We use tools to extend our reach, to amplify our physical strength, and to achieve many other tasks. A large number of animals have also been observed to use tools. Despite the widespread use of tools in the animal world, however, studies of autonomous robotic tool use are still rare.

ISBN: 9780549112471Subjects--Topical Terms:

769149
Artificial Intelligence.

Robot tool behavior: A developmental approach to autonomous tool use.
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020 $a 9780549112471
035 $a (UMI)AAI3271597
035 $a AAI3271597
040 $a UMI $c UMI
100 1 $a Stoytchev, Alexander. $3 1282390
245 1 0 $a Robot tool behavior: A developmental approach to autonomous tool use.
300 $a 277 p.
500 $a Adviser: Ronald Arkin.
500 $a Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4608.
502 $a Thesis (Ph.D.)--Georgia Institute of Technology, 2007.
520 $a The ability to use tools is one of the hallmarks of intelligence. Tool use is fundamental to human life and has been for at least the last two million years. We use tools to extend our reach, to amplify our physical strength, and to achieve many other tasks. A large number of animals have also been observed to use tools. Despite the widespread use of tools in the animal world, however, studies of autonomous robotic tool use are still rare.
520 $a This dissertation examines the problem of autonomous tool use in robots from the point of view of developmental robotics. Therefore, the main focus is not on optimizing robotic solutions for specific tool tasks but on designing algorithms and representations that a robot can use to develop tool-using abilities.
520 $a The dissertation describes a developmental sequence/trajectory that a robot can take in order to learn how to use tools autonomously. The developmental sequence begins with learning a model of the robot's body since the body is the most consistent and predictable part of the environment. Specifically, the robot learns which perceptual features are associated with its own body and which with the environment. Next, the robot can begin to identify certain patterns exhibited by the body itself and to learn a robot body schema model which can also be used to encode goal-oriented behaviors. The robot can also use its body as a well defined reference frame from which the properties of environmental objects can be explored by relating them to the body. Finally, the robot can begin to relate two environmental objects to one another and to learn that certain actions with the first object can affect the second object, i.e., the first object can be used as a tool.
520 $a The main contributions of the dissertation can be broadly summarized as follows: it demonstrates a method for autonomous self-detection in robots; it demonstrates a model for extendable robot body schema which can be used to achieve goal-oriented behaviors, including video-guided behaviors; it demonstrates a behavior-grounded method for learning the affordances of tools which can also be used to solve tool-using tasks.
590 $a School code: 0078.
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 Georgia Institute of Technology. $3 696730
773 0 $t Dissertation Abstracts International $g 68-07B.
790 $a 0078
790 1 0 $a Arkin, Ronald, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3271597