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. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Gharpure, C., Kulyukin, V., Jiang, M., & Kutiyanawala, A. (2006). Passive radio frequency exteroception in robot assisted shopping for the blind. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4159 LNCS, pp. 51–60). Springer Verlag. https://doi.org/10.1007/11833529_6
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