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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
This review paper discusses about the various methodologies by virtue of which robot learning is implemented. An ageing… 
2009
2009
We describe TeamTalk: A human-robot interface capable of interpreting spoken dialog interactions between humans and robots in… 
2006
2006
With tremendous advances in computer communication technology, computerized robots connected to networks can be efficiently used… 
2006
2006
We describe a model for task-driven, natural-language-based human-robot interaction where the roles of the two participants are… 
2005
2005
Abstract : Policy Reuse (PR) provides Reinforcement Learning algorithms with a mechanism to bias an exploration process by… 
2004
2004
  • Masato ItoJun Tani
  • 2004
  • Corpus ID: 18910756
This study presents experiments on the imitative interactions between a small humanoid robot and a user. A mirror neuron model… 
2003
2003
Autonomous robots hold the possibility of performing a variety of assistive tasks in intelligent environments. However… 
1996
1996
Inspired by the properties of the human visual system, a new active vision system called ESCHeR (Etl Stereo Compact Head For… 
1988
1988
Models play an important role in learning from practice. Models of a controlled system can be used as learning operators to…