Passive radio frequency exteroception in robot assisted shopping for the blind

Authors:
Chaitanya Gharpure;Vladimir Kulyukin;Minghui Jiang;Aliasgar Kutiyanawala
Affiliations:
Computer Science Assistive Technology Laboratory, Utah State University, Logan, UT;Computer Science Assistive Technology Laboratory, Utah State University, Logan, UT;Computer Science Assistive Technology Laboratory, Utah State University, Logan, UT;Computer Science Assistive Technology Laboratory, Utah State University, Logan, UT
Venue:
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Year:
2006

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Abstract

In 2004, the Computer Science Assistive Technology Laboratory (CSATL) of Utah State University (USU) started a project whose objective is to develop RoboCart, a robotic shopping assistant for the visually impaired. RoboCart is a continuation of our previous work on RG, a robotic guide for the visually impaired in structured indoor environments. The determinism provided by exteroception of passive RFID-enabled surfaces is desirable when dealing with dynamic and uncertain environments where probabilistic approaches like Monte Carlo Markov localization (MCL) may fail. We present the results of a pilot feasibility study with two visually impaired shoppers in Lee’s MarketPlace, a supermarket in Logan, Utah.