A sensorimotor reinforcement learning framework for physical Human-Robot Interaction

Ali Ghadirzadeh; Judith Bütepage; Atsuto Maki; Danica Kragic; Mårten Björkman

IROS 2016poster66 citations

A sensorimotor reinforcement learning framework for physical Human-Robot Interaction

Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman

Abstract

Modeling of physical human-robot collaborations is generally a challenging problem due to the unpredictive nature of human behavior. To address this issue, we present a data-efficient reinforcement learning framework which enables a robot to learn how to collaborate with a human partner. The robot learns the task from its own sensorimotor experiences in an unsupervised manner.

BibTeX

@inproceedings{iros2016_asensorimotorrei,
  title = {A sensorimotor reinforcement learning framework for physical Human-Robot Interaction},
  author = {Ali Ghadirzadeh and Judith Bütepage and Atsuto Maki and Danica Kragic and Mårten Björkman},
  booktitle = {IROS 2016},
  year = {2016}
}