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Personal mobility and manipulation using robotics, artificial intelligence and advanced control

Cooper, RA and Ding, D and Grindle, GG and Wang, H (2007) Personal mobility and manipulation using robotics, artificial intelligence and advanced control. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 4368 - 4371. ISSN 0589-1019

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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. © 2007 IEEE.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Cooper, RARCOOPER@pitt.eduRCOOPER
Ding, Ddad5@pitt.eduDAD5
Grindle, GGggg3@pitt.eduGGG3
Wang, Hhow11@pitt.eduHOW11
Centers: Other Centers, Institutes, or Units > Human Engineering Research Laboratories
Date: 1 December 2007
Date Type: Publication
Journal or Publication Title: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Page Range: 4368 - 4371
DOI or Unique Handle: 10.1109/iembs.2007.4353305
Schools and Programs: School of Health and Rehabilitation Sciences > Health and Rehabilitation Sciences
Refereed: Yes
ISSN: 0589-1019
MeSH Headings: Forecasting; Humans; Locomotion; Natural Language Processing; Robotics--methods; Robotics--trends
PubMed ID: 18002971
Date Deposited: 05 Oct 2012 18:42
Last Modified: 02 Feb 2019 16:58
URI: http://d-scholarship.pitt.edu/id/eprint/15641

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