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… (More)
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Cognitive roboticsComputer visionDevelopmental roboticsEvolutionary robotics
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Machine learning

Papers overview

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Highly Cited
2010
Highly Cited
2010
Learning Control in Robotics
Recent trends in robot learning are to use trajectory-based optimal control techniques and reinforcement learning to scale… (More)
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Review
2009
Review
2009
A survey of robot learning from demonstration
We present a comprehensive survey of robot Learning from Demonstration (LfD), a technique that develops policies from example… (More)
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Highly Cited
2006
Highly Cited
2006
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with… (More)
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Highly Cited
2004
Highly Cited
2004
Tutelage and socially guided robot learning
We view the problem of machine learning as a collaboration between the human and the machine. Inspired by human-style tutelage… (More)
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Highly Cited
2003
Highly Cited
2003
Natural methods for robot task learning: instructive demonstrations, generalization and practice
Among humans, teaching various tasks is a complex process which relies on multiple means for interaction and learning, both on… (More)
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Highly Cited
2002
Highly Cited
2002
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and… (More)
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Highly Cited
2001
Highly Cited
2001
Learning and interacting in human-robot domains
Human–agent interaction is a growing area of research; there are many approaches that address significantly different aspects of… (More)
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Highly Cited
1999
Highly Cited
1999
Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
Learning, planning, and representing knowledge at multiple levels of temporal abstraction are key, longstanding challenges for AI… (More)
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Highly Cited
1997
Highly Cited
1997
Robot Learning From Demonstration
The goal of robot learning from demonstra tion is to have a robot learn from watching a demonstration of the task to be performed… (More)
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Highly Cited
1997
Highly Cited
1997
Reinforcement Learning in the Multi-Robot Domain
This paper describes a formulation of reinforcement learning that enables learning in noisy, dynamic environments such as in the… (More)
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