• DocumentCode
    1844681
  • Title

    Personal Mobility and Manipulation Using Robotics, Artificial Intelligence and Advanced Control

  • Author

    Cooper, R.A. ; Dan Ding ; Grindle, G.G. ; Hongwu Wang

  • Author_Institution
    Univ. of Pittsburgh, Pittsburgh
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    4368
  • Lastpage
    4371
  • Abstract
    Recent advancements of technologies, including computation, robotics, machine learning, communication, and miniaturization technologies, bring us closer to futuristic visions of compassionate intelligent devices. The missing element is a basic understanding of how to relate human functions (physiological, physical, and cognitive) to the design of intelligent devices and systems that aid and interact with people. Our stakeholder and clinician consultants identified a number of mobility barriers that have been intransigent to traditional approaches. The most important physical obstacles are stairs, steps, curbs, doorways (doors), rough/uneven surfaces, weather hazards (snow, ice), crowded/cluttered spaces, and confined spaces. Focus group participants suggested a number of ways to make interaction simpler, including natural language interfaces such as the ability to say ";I want a drink";, a library of high level commands (open a door, park the wheelchair, ...), and a touchscreen interface with images so the user could point and use other gestures.
  • Keywords
    bioMEMS; cognition; handicapped aids; learning (artificial intelligence); medical robotics; natural languages; touch sensitive screens; advanced assistive technology; artificial intelligence; cognition; crowded-cluttered spaces; human function; intelligent device design; machine learning; miniaturization technologies; mobility barriers; natural language interfaces; personal mobility; robotics; rough-uneven surfaces; touchscreen interface; weather hazards; Artificial intelligence; Cognitive robotics; Communication system control; Competitive intelligence; Computer vision; Intelligent robots; Learning systems; Machine learning; Mobile robots; Robot vision systems; Forecasting; Humans; Locomotion; Natural Language Processing; Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353305
  • Filename
    4353305