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.
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Gharpure, C., Kulyukin, V., Jiang, M., Kutiyanawala, A. (2006). Passive Radio Frequency Exteroception in Robot Assisted Shopping for the Blind. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.JP. (eds) Ubiquitous Intelligence and Computing. UIC 2006. Lecture Notes in Computer Science, vol 4159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11833529_6
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DOI: https://doi.org/10.1007/11833529_6
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