Corpus ID: 52895099

Collaborative Robot Learning from Demonstrations using Hidden Markov Model State Distribution

@article{Kumra2018CollaborativeRL,
  title={Collaborative Robot Learning from Demonstrations using Hidden Markov Model State Distribution},
  author={Sulabh Kumra and Ferat Sahin},
  journal={ArXiv},
  year={2018},
  volume={abs/1809.10797}
}
In robotics, there is need of an interactive and expedite learning method as experience is expensive. Robot Learning from Demonstration (RLfD) enables a robot to learn a policy from demonstrations performed by teacher. RLfD enables a human user to add new capabilities to a robot in an intuitive manner, without explicitly reprogramming it. In this work, we present a novel interactive framework, where a collaborative robot learns skills for trajectory based tasks from demonstrations performed by… Expand
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