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An Intelligent Socially Assistive Robot for Health Care

[+] Author Affiliations
Junichi Terao, Lina Trejos, Zhe Zhang

State University of New York (SUNY) - Stony Brook, Stony Brook, NY

Goldie Nejat

University of Toronto, Toronto, ON, Canada

Paper No. IMECE2008-67678, pp. 69-78; 10 pages
doi:10.1115/IMECE2008-67678
From:
  • ASME 2008 International Mechanical Engineering Congress and Exposition
  • Volume 7: Emerging Technologies; Recent Advances in Engineering
  • Boston, Massachusetts, USA, October 31–November 6, 2008
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4868-5 | eISBN: 978-0-7918-3840-2
  • Copyright © 2008 by ASME

abstract

The development of socially assistive robots for health care applications can provide measurable improvements in patient safety, quality of care, and operational efficiencies by playing an increasingly important role in patient care in the fast pace of crowded clinics, hospitals and nursing/veterans homes. However, there are a number of research issues that need to be addressed in order to design such robots. In this paper, we address two main limitations to the development of intelligent socially assistive robots: (i) identification of human body language via a non-contact sensory system and categorization of these gestures for determining the accessibility level of a person during human-robot interaction, and (ii) decision making control architecture design for determining the learning-based task-driven behavior of the robot during assistive interaction. Preliminary experiments presented show the potential of the integration of the aforementioned techniques into the overall design of such robots intended for assistive scenarios.

Copyright © 2008 by ASME
Topics: Robots , Health care

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