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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… Expand
Wikipedia

Related topics

Related topics

11 relations
Cognitive roboticsComputer visionDevelopmental roboticsEvolutionary robotics
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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
A Survey of Knowledge Representation in Service Robotics
Abstract Within the realm of service robotics, researchers have placed a great amount of effort into learning, understanding, and… Expand
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Review
2018
Review
2018
Robot Learning from Demonstration in Robotic Assembly: A Survey
Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks autonomously, in particular, to… Expand
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Highly Cited
2017
Highly Cited
2017
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Applying end-to-end learning to solve complex, interactive, pixel-driven control tasks on a robot is an unsolved problem. Deep… Expand
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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… Expand
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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… Expand
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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 ab- straction are key, longstanding challenges for… Expand
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Highly Cited
1997
Highly Cited
1997
Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed… Expand
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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… Expand
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Highly Cited
1995
Highly Cited
1995
Lifelong robot learning
Learning provides a useful tool for the automatic design of autonomous robots. Recent research on learning robot control has… Expand
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Highly Cited
1990
Highly Cited
1990
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
A shoulder strap retainer having a base to be positioned on the exterior shoulder portion of a garment with securing means… Expand
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