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Designing a Wayfinding Robot for People with Visual Impairments

Authors :
Liu, Shuijing
Hasan, Aamir
Hong, Kaiwen
Yao, Chun-Kai
Lin, Justin
Liang, Weihang
Bayles, Megan A.
Rogers, Wendy A.
Driggs-Campbell, Katherine
Publication Year :
2023

Abstract

People with visual impairments (PwVI) often have difficulties navigating through unfamiliar indoor environments. However, current wayfinding tools are fairly limited. In this short paper, we present our in-progress work on a wayfinding robot for PwVI. The robot takes an audio command from the user that specifies the intended destination. Then, the robot autonomously plans a path to navigate to the goal. We use sensors to estimate the real-time position of the user, which is fed to the planner to improve the safety and comfort of the user. In addition, the robot describes the surroundings to the user periodically to prevent disorientation and potential accidents. We demonstrate the feasibility of our design in a public indoor environment. Finally, we analyze the limitations of our current design, as well as our insights and future work. A demonstration video can be found at https://youtu.be/BS9r5bkIass.<br />Comment: Presented at ICRA 2022 Workshop on Intelligent Control Methods and Machine Learning Algorithms for Human-Robot Interaction and Assistive Robotics

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2302.09144
Document Type :
Working Paper