2005 IEEE/RSJ International Conference on Intelligent Robots and Systems 2005
DOI: 10.1109/iros.2005.1545107
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RoboCart: toward robot-assisted navigation of grocery stores by the visually impaired

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Cited by 102 publications
(47 citation statements)
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“…There is not an estimation method for the lost nodes, as it happens when there are moving obstacles in the environment. The developed algorithm as been also implemented in other applications: to help blind people while shopping in a supermarket [16]; and as a support system for elderly people using a wheeled smart walking frame, named iWalker [17]. The main disadvantage of those prototypes is that the routes must be pre-coded and they also require a map of the environment.…”
Section: Related Workmentioning
confidence: 99%
“…There is not an estimation method for the lost nodes, as it happens when there are moving obstacles in the environment. The developed algorithm as been also implemented in other applications: to help blind people while shopping in a supermarket [16]; and as a support system for elderly people using a wheeled smart walking frame, named iWalker [17]. The main disadvantage of those prototypes is that the routes must be pre-coded and they also require a map of the environment.…”
Section: Related Workmentioning
confidence: 99%
“…RoboCart was our first accessible blind shopping project that started in early 2004 [12] at the Computer Science Assistive Technology Laboratory of Utah State University (USU CSATL). The objective was to design a robotic supermarket shopping assistant for blind and VI shoppers.…”
Section: Robocartmentioning
confidence: 99%
“…The assistive and rehabilitation technologies that have been researched and built are such as GuideCane [2], NavBelt [3], My 2nd Eye [4], SMART EYE [5], [6], and others. Besides that, one of the developed mobile robots for the blind which is designed to help the blind in shopping malls [7]. Without the state of the art of these technologies, the visually impaired people only counts on the conventional white cane to detect surrounding obstacles and sense the road in front of them.…”
Section: Introductionmentioning
confidence: 99%