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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
2010
Review
2010
Cooperation between networked mobile sensors, wearable and sycophant sensor networks with parasitically sticking agents, and also… 
2009
2009
We describe TeamTalk: A human-robot interface capable of interpreting spoken dialog interactions between humans and robots in… 
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 ItoJ. 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… 
1998
1998
This paper presents a new approach to acquire e ective modules or function nodes in Genetic Programming(GP). Tree structured… 
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…