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Understanding Expectations for a Robotic Guide Dog for Visually Impaired People

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arxiv 2501.04594 v1 pith:CDS6T3XQ submitted 2025-01-08 cs.RO

Understanding Expectations for a Robotic Guide Dog for Visually Impaired People

classification cs.RO
keywords guideroboticdesigndogsusersimpairedimplicationsmethods
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Robotic guide dogs hold significant potential to enhance the autonomy and mobility of blind or visually impaired (BVI) individuals by offering universal assistance over unstructured terrains at affordable costs. However, the design of robotic guide dogs remains underexplored, particularly in systematic aspects such as gait controllers, navigation behaviors, interaction methods, and verbal explanations. Our study addresses this gap by conducting user studies with 18 BVI participants, comprising 15 cane users and three guide dog users. Participants interacted with a quadrupedal robot and provided both quantitative and qualitative feedback. Our study revealed several design implications, such as a preference for a learning-based controller and a rigid handle, gradual turns with asymmetric speeds, semantic communication methods, and explainability. The study also highlighted the importance of customization to support users with diverse backgrounds and preferences, along with practical concerns such as battery life, maintenance, and weather issues. These findings offer valuable insights and design implications for future research and development of robotic guide dogs.

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  1. GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance

    cs.CV 2025-03 unverdicted novelty 7.0

    GuideDog supplies 22K egocentric image-description pairs from 46 countries and an 818-sample QA benchmark showing that current multimodal models still struggle with depth perception and BLV-specific guidance rules.