Turning assistive machines into assistive robots

Brenna Dee Argall*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

For decades, the potential for automation in particular, in the form of smart wheelchairs to aid those with motor, or cognitive, impairments has been recognized. It is a paradox that often the more severe a person's motor impairment, the more challenging it is for them to operate the very assistive machines which might enhance their quality of life. A primary aim of my lab is to address this confound by incorporating robotics autonomy and intelligence into assistive machines turning the machine into a kind of robot, and offloading some of the control burden from the user. Robots already synthetically sense, act in and reason about the world, and these technologies can be leveraged to help bridge the gap left by sensory, motor or cognitive impairments in the users of assistive machines. This paper overviews some of the ongoing projects in my lab, which strives to advance human ability through robotics autonomy.

Original languageEnglish (US)
Title of host publicationQuantum Sensing and Nanophotonic Devices XII
EditorsManijeh Razeghi, Eric Tournie, Gail J. Brown
PublisherSPIE
Volume9370
ISBN (Electronic)9781628414608
DOIs
StatePublished - Jan 1 2015
EventQuantum Sensing and Nanophotonic Devices XII - San Francisco, United States
Duration: Feb 8 2015Feb 12 2015

Other

OtherQuantum Sensing and Nanophotonic Devices XII
CountryUnited States
CitySan Francisco
Period2/8/152/12/15

Keywords

  • Assistive Robots
  • Machine Learning
  • Rehabilitation Robotics
  • Robot Autonomy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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