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.