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Robot-assisted shopping for the visually impaired: proof-of-concept design and feasibility evaluation
Vladimir Kulyukin1, Chaitanya Gharpure, Daniel Coster
1Computer Science Assistive Technology Laboratory, Department of Computer Science, Utah State University, Logan, Utah 84322-4205, USA. vladimir.kulyukin@usu.edu
Abstract:
This article presents RoboCart, a proof-of-concept prototype of a robotic shopping cart for the visually impaired in supermarkets. RoboCart autonomously leads shoppers to required locations and cues them through synthetic speech and a portable barcode reader to the salient features of the environment sufficient for product retrieval. In a longitudinal pilot feasibility study, visually impaired shoppers (n = 10) used the device to retrieve products in Lee's MarketPlace, a supermarket in Logan, Utah. The main finding is that RoboCart enables visually impaired shoppers to reliably and independently navigate to and retrieve products in a real supermarket.
