skip to main content
10.1145/2701973.2702726acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
abstract

Robotic Coaching of Complex Physical Skills

Published:02 March 2015Publication History

ABSTRACT

The research area of using robots to coach complex physical skills is underserved. Whereas robots have been used extensively in the form of robotic orthoses to rehabilitate early trauma patients, there is more that can be done to develop robots that help children, the elderly and late-stage rehabilitation patients to excel at physical skills. In order to do this, we must develop robots that do not actuate on the students, but coach them through hands-off modalities such as verbal advice and demonstrations. This approach requires sophisticated perception, and modeling of the student's movement in order to deliver effective advice. Preliminary results suggest that these goals can be achieved with consumer-grade sensing hardware. We present planned future work towards achieving this vision.

References

  1. B. Gorer, A. Salah, and H. Akin. A robotic fitness coach for the elderly. In J. Augusto, R. Wichert, R. Collier, D. Keyson, A. Salah, and A.-H. Tan, editors, Ambient Intelligence, volume 8309 of Lecture Notes in Computer Science, pages 124--139. Springer International Publishing, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. Hidler, D. Nichols, M. Pelliccio, K. Brady, D. D. Campbell, J. H. Kahn, and T. G. Hornby. Multicenter randomized clinical trial evaluating the effectiveness of the lokomat in subacute stroke. Neurorehabilitation and Neural Repair, 23(1):5--13, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  3. S. Jezernik, G. Colombo, T. Keller, H. Frueh, and M. Morari. Robotic orthosis lokomat: A rehabilitation and research tool. Neuromodulation: Technology at the Neural Interface, 6(2):108--115, 2003.Google ScholarGoogle Scholar
  4. A. Litoiu and B. Scassellati. Personalized instruction of physical skills with a social robot. In Machine Learning for Interactive Systems at AAAI, 2014.Google ScholarGoogle Scholar
  5. R. Ros, I. Baroni, and Y. Demiris. Adaptive human-robot interaction in sensorimotor task instruction: From human to robot dance tutors. Robotics and Autonomous Systems, 2014.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. B. H. Wrotniak, L. H. Epstein, J. M. Dorn, K. E. Jones, and V. A. Kondilis. The relationship between motor proficiency and physical activity in children. Pediatrics, 118(6):e1758--e1765, 2006.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Robotic Coaching of Complex Physical Skills

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts
      March 2015
      336 pages
      ISBN:9781450333184
      DOI:10.1145/2701973

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 March 2015

      Check for updates

      Qualifiers

      • abstract

      Acceptance Rates

      HRI'15 Extended Abstracts Paper Acceptance Rate92of102submissions,90%Overall Acceptance Rate192of519submissions,37%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader