Learning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings /

Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented work, such as the exploitation of learning techniques for industrial robotics. Given this broad scope of interests, it is not surprising that, although AI and robotics are usually the core of the robot learning eld, disciplines like cog- tive science, mathematics, social sciences, neuroscience, biology, and electrical engineering have also begun to play a role in it. In this way, its interdisciplinary character is more than a mere fashion, and leads to a productive exchange of ideas. One of the aims of EWLR-6 was to foster this exchange of ideas and to f- ther boost contacts between the di erent scienti c areas involved in learning robots. EWLR is, traditionally, a \European Workshop on Learning Robots". Nevertheless, the organizers of EWLR-6 decided to open up the workshop to non-European research as well, and included in the program committee we- known non-European researchers. This strategy proved to be successful since there was a strong participation in the workshop from researchers outside - rope, especially from Japan, which provided new ideas and lead to new contacts.

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Bibliographic Details
Main Authors: Birk, Andreas. editor., Demiris, John. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1998
Subjects:Engineering., Computer science, Artificial intelligence., Robotics., Automation., Robotics and Automation., Artificial Intelligence (incl. Robotics)., Math Applications in Computer Science.,
Online Access:http://dx.doi.org/10.1007/3-540-49240-2
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record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Engineering.
Computer science
Artificial intelligence.
Robotics.
Automation.
Engineering.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Math Applications in Computer Science.
Engineering.
Computer science
Artificial intelligence.
Robotics.
Automation.
Engineering.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Math Applications in Computer Science.
spellingShingle Engineering.
Computer science
Artificial intelligence.
Robotics.
Automation.
Engineering.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Math Applications in Computer Science.
Engineering.
Computer science
Artificial intelligence.
Robotics.
Automation.
Engineering.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Math Applications in Computer Science.
Birk, Andreas. editor.
Demiris, John. editor.
SpringerLink (Online service)
Learning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings /
description Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented work, such as the exploitation of learning techniques for industrial robotics. Given this broad scope of interests, it is not surprising that, although AI and robotics are usually the core of the robot learning eld, disciplines like cog- tive science, mathematics, social sciences, neuroscience, biology, and electrical engineering have also begun to play a role in it. In this way, its interdisciplinary character is more than a mere fashion, and leads to a productive exchange of ideas. One of the aims of EWLR-6 was to foster this exchange of ideas and to f- ther boost contacts between the di erent scienti c areas involved in learning robots. EWLR is, traditionally, a \European Workshop on Learning Robots". Nevertheless, the organizers of EWLR-6 decided to open up the workshop to non-European research as well, and included in the program committee we- known non-European researchers. This strategy proved to be successful since there was a strong participation in the workshop from researchers outside - rope, especially from Japan, which provided new ideas and lead to new contacts.
format Texto
topic_facet Engineering.
Computer science
Artificial intelligence.
Robotics.
Automation.
Engineering.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Math Applications in Computer Science.
author Birk, Andreas. editor.
Demiris, John. editor.
SpringerLink (Online service)
author_facet Birk, Andreas. editor.
Demiris, John. editor.
SpringerLink (Online service)
author_sort Birk, Andreas. editor.
title Learning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings /
title_short Learning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings /
title_full Learning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings /
title_fullStr Learning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings /
title_full_unstemmed Learning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings /
title_sort learning robots [electronic resource] : 6th european workshop, ewlr-6 brighton, england, august 1–2, 1997 proceedings /
publisher Berlin, Heidelberg : Springer Berlin Heidelberg,
publishDate 1998
url http://dx.doi.org/10.1007/3-540-49240-2
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spelling KOHA-OAI-TEST:2271952018-07-31T00:08:19ZLearning Robots [electronic resource] : 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings / Birk, Andreas. editor. Demiris, John. editor. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg,1998.engRobot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented work, such as the exploitation of learning techniques for industrial robotics. Given this broad scope of interests, it is not surprising that, although AI and robotics are usually the core of the robot learning eld, disciplines like cog- tive science, mathematics, social sciences, neuroscience, biology, and electrical engineering have also begun to play a role in it. In this way, its interdisciplinary character is more than a mere fashion, and leads to a productive exchange of ideas. One of the aims of EWLR-6 was to foster this exchange of ideas and to f- ther boost contacts between the di erent scienti c areas involved in learning robots. EWLR is, traditionally, a \European Workshop on Learning Robots". Nevertheless, the organizers of EWLR-6 decided to open up the workshop to non-European research as well, and included in the program committee we- known non-European researchers. This strategy proved to be successful since there was a strong participation in the workshop from researchers outside - rope, especially from Japan, which provided new ideas and lead to new contacts.The construction and acquisition of visual categories -- Q-Learning with Adaptive State Space Construction -- Modular Reinforcement Learning: An Application to a Real Robot Task -- Analysis and Design of Robot’s Behavior: Towards a Methodology -- Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments -- Transmitting Communication Skills Through Imitation in Autonomous Robots -- Continual Robot Learning with Constructive Neural Networks -- Robot Learning and Self-Sufficiency: What the energy-level can tell us about a robot’s performance -- Perceptual grounding in robots -- A Learning Mobile Robot: Theory, Simulation and Practice -- Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition -- Robot Learning using Gate-Level Evolvable Hardware.Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented work, such as the exploitation of learning techniques for industrial robotics. Given this broad scope of interests, it is not surprising that, although AI and robotics are usually the core of the robot learning eld, disciplines like cog- tive science, mathematics, social sciences, neuroscience, biology, and electrical engineering have also begun to play a role in it. In this way, its interdisciplinary character is more than a mere fashion, and leads to a productive exchange of ideas. One of the aims of EWLR-6 was to foster this exchange of ideas and to f- ther boost contacts between the di erent scienti c areas involved in learning robots. EWLR is, traditionally, a \European Workshop on Learning Robots". Nevertheless, the organizers of EWLR-6 decided to open up the workshop to non-European research as well, and included in the program committee we- known non-European researchers. This strategy proved to be successful since there was a strong participation in the workshop from researchers outside - rope, especially from Japan, which provided new ideas and lead to new contacts.Engineering.Computer scienceArtificial intelligence.Robotics.Automation.Engineering.Robotics and Automation.Artificial Intelligence (incl. Robotics).Math Applications in Computer Science.Springer eBookshttp://dx.doi.org/10.1007/3-540-49240-2URN:ISBN:9783540492405