Header logo is

Motion Learning for Emotional Interaction and Imitation of Children with Autism Spectrum Disorder

2017

Conference Paper

hi


We aim to use motion learning to teach a robot to imitate people's unique gestures. Our robot, ROBOTIS-OP2, can ultimately use imitation to practice social skills with children with autism. In this abstract, two methods of motion learning were compared: Dynamic motion primitives with least squares (DMP with WLS), and Dynamic motion primitives with a Gaussian Mixture Regression (DMP with GMR). Movements with sharp turns were most accurately reproduced using DMP with GMR. Additionally, more states are required to accurately recreate more complex gestures.

Award: (First place tie in category, "Biomedical Engineering, Graduate Research")
Author(s): Rachael Burns and Sam Cowin
Book Title: 2017 GW Research Days, Department of Biomedical Engineering Posters and Presentations
Year: 2017
Month: April

Department(s): Haptic Intelligence
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Abstract

Event Place: Washington, DC, USA

Award Paper: First place tie in category, "Biomedical Engineering, Graduate Research"
Language: English
URL: https://hsrc.himmelfarb.gwu.edu/gw_research_days/2017/BME/17/
Attachments:

BibTex

@inproceedings{Burns17-GWRD-MotionLearning,
  title = {Motion Learning for Emotional Interaction and Imitation of Children with Autism Spectrum Disorder},
  author = {Burns, Rachael and Cowin, Sam},
  booktitle = {2017 GW Research Days, Department of Biomedical Engineering Posters and Presentations},
  month = apr,
  year = {2017},
  url = {https://hsrc.himmelfarb.gwu.edu/gw_research_days/2017/BME/17/},
  month_numeric = {4}
}