A User Study on Robot Skill Learning Without a Cost Function: Optimization of Dynamic Movement Primitives via Naive User Feedback

@article{Vollmer2018AUS,
  title={A User Study on Robot Skill Learning Without a Cost Function: Optimization of Dynamic Movement Primitives via Naive User Feedback},
  author={Anna-Lisa Vollmer and Nikolas J. Hemion},
  journal={Front. Robotics and AI},
  year={2018},
  volume={2018}
}
Enabling users to teach their robots new tasks at home is a major challenge for research in personal robotics. This work presents a user study in which participants were asked to teach the robot Pepper a game of skill. The robot was equipped with a state-of-the-art skill learningmethod, based on dynamic movement primitives (DMPs). The only feedback… CONTINUE READING