NavVI: A Telerobotic Simulation with Multimodal Feedback for Visually Impaired Navigation in Warehouse Environments
Maisha Maimuna, Minhaz Bin Farukee, Sama Nikanfar, Mahfuza Siddiqua, Ayon Roy, Fillia Makedon

TL;DR
This paper introduces NavVI, a multimodal feedback teleoperation simulator for visually impaired users to navigate warehouses safely, combining visual, auditory, and haptic cues with real-time re-planning.
Contribution
The study presents a novel multimodal guidance system for BLV users in industrial environments, integrating synchronized visual, auditory, and haptic feedback with dynamic re-planning.
Findings
Effective multimodal feedback improves navigation safety.
System is adaptable to real robots and industrial settings.
Provides a repeatable platform for research and deployment.
Abstract
Industrial warehouses are congested with moving forklifts, shelves and personnel, making robot teleoperation particularly risky and demanding for blind and low-vision (BLV) operators. Although accessible teleoperation plays a key role in inclusive workforce participation, systematic research on its use in industrial environments is limited, and few existing studies barely address multimodal guidance designed for BLV users. We present a novel multimodal guidance simulator that enables BLV users to control a mobile robot through a high-fidelity warehouse environment while simultaneously receiving synchronized visual, auditory, and haptic feedback. The system combines a navigation mesh with regular re-planning so routes remain accurate avoiding collisions as forklifts and human avatars move around the warehouse. Users with low vision are guided with a visible path line towards destination;…
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