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Robot learning
Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel…
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Related topics
Related topics
11 relations
Cognitive robotics
Computer vision
Developmental robotics
Evolutionary robotics
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
A Survey of Various Robot Learning Techniques
Shetve Dattaprasad
,
Yedukondala Rao
2018
Corpus ID: 69941806
This review paper discusses about the various methodologies by virtue of which robot learning is implemented. An ageing…
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2006
2006
Symmetrical Joint Action in Human-Robot Dialogue
Mary Ellen Foster
,
Tomas By
,
Markus Rickert
,
A. Knoll
2006
Corpus ID: 15890423
We describe a model for task-driven, natural-language-based human-robot interaction where the roles of the two participants are…
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2006
2006
THE NEW ROBOTIC ERA
Dr. Mayez Al-Mouhamed
2006
Corpus ID: 29753889
With tremendous advances in computer communication technology, computerized robots connected to networks can be efficiently used…
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2005
2005
Building a Library of Policies through Policy Reuse
F. Fernández
,
M. Veloso
2005
Corpus ID: 16369535
Abstract : Policy Reuse (PR) provides Reinforcement Learning algorithms with a mechanism to bias an exploration process by…
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2005
2005
Implementation of Optimal Weights Initialization Technology in Robot Learning
Zhi-Qiang Xu
2005
Corpus ID: 64280699
An intelligent obstacle avoidance model based on BP neural network is established.Also a novel optimal weights initialization…
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1999
1999
COMMUNICATIONS AND FORUM : THE PRINCIPLES AND LAWS OF GENERAL SYSTEMS AND THEIR APPLICATIONS
F. Lin
,
T.-C. Cheng
1999
Corpus ID: 214801605
1999
1999
Making Robots Smarter: Combining Sensing and Action through Robot Learning
M. Kaiser
,
V. Klingspor
,
K. Morik
1999
Corpus ID: 107326973
From the Publisher: Making Robots Smarter is a book about learning robots. It treats this topic based on the idea that the…
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1998
1998
Incremental Aquisition of Complex Visual Behaviour using Genetic Programming and Robot Shaping
Simon J. Perkins
1998
Corpus ID: 7431016
1998
1998
Module Generation for Genetic Programming and Its Incremental Evolution
Takayoshi Naemura
,
T. Hashiyama
,
S. Okuma
1998
Corpus ID: 17391846
This paper presents a new approach to acquire e ective modules or function nodes in Genetic Programming(GP). Tree structured…
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1988
1988
Model-based robot learning
C. Atkeson
,
E. Aboaf
,
J. McIntyre
,
D. Reinkensmeyer
1988
Corpus ID: 60986994
Models play an important role in learning from practice. Models of a controlled system can be used as learning operators to…
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