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CaBot: Designing and Evaluating an Autonomous Navigation Robot for Blind People

João Guerreiro, Daisuke Sato, Saki Asakawa, Huixu Dong, Kris Kitani, Chieko Asakawa

Year
2019
Citations
167

Abstract

Navigation robots have the potential to overcome some of the limitations of traditional navigation aids for blind people, specially in unfamiliar environments. In this paper, we present the design of CaBot (Carry-on roBot), an autonomous suitcase-shaped navigation robot that is able to guide blind users to a destination while avoiding obstacles on their path. We conducted a user study where ten blind users evaluated specific functionalities of CaBot, such as a vibro-tactile handle to convey directional feedback; experimented to find their comfortable walking speed; and performed navigation tasks to provide feedback about their overall experience. We found that CaBot's performance highly exceeded users' expectations, who often compared it to navigating with a guide dog or sighted guide. Users' high confidence, sense of safety, and trust on CaBot poses autonomous navigation robots as a promising solution to increase the mobility and independence of blind people, in particular in unfamiliar environments.

Keywords

RobotComputer scienceHuman–computer interactionIndependence (probability theory)Mobile robot navigationPath (computing)Mobile robotNavigation systemArtificial intelligenceSimulation

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