An Omnidirectional Guidance Robot System for Visually Impaired Individuals with Nonlinear MPC

In this article, we develop an intelligent guiding robot system based on omnidirectional kinesthetic feedback. This system provides a safer and more efficient solution for the independent travel of blind and visually impaired people (BVIP). The system includes a novel omnidirectional kinesthetic feedback guidance device and a platform equipped with various sensors (LiDAR, depth camera, IMU, etc.) and a computing unit. Meanwhile, we construct a perception-planning-control framework. To ensure the safety of the person during the guidance process, we develop a human-robot coupling model to describe the real-time state of the human-robot system. Tracking controllers execute these commands to drive the guiding device. Our system is deployed on the Smart Cane platform and has been validated through simulations and real-world scenarios, and demonstrate excellent trajectory tracking capability.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907451
Primary Topic
Tactile and Sensory Interactions
Type
article
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article

An Omnidirectional Guidance Robot System for Visually Impaired Individuals with Nonlinear MPC

Qingquan Na, Yang Li, Hui Zhou, Hailei Yuan
Tactile and Sensory Interactions
article

An Omnidirectional Guidance Robot System for Visually Impaired Individuals with Nonlinear MPC

Qingquan Na, Yang Li, Hui Zhou, Hailei Yuan
article en

Abstract

In this article, we develop an intelligent guiding robot system based on omnidirectional kinesthetic feedback. This system provides a safer and more efficient solution for the independent travel of blind and visually impaired people (BVIP). The system includes a novel omnidirectional kinesthetic feedback guidance device and a platform equipped with various sensors (LiDAR, depth camera, IMU, etc.) and a computing unit. Meanwhile, we construct a perception-planning-control framework. To ensure the safety of the person during the guidance process, we develop a human-robot coupling model to describe the real-time state of the human-robot system. Tracking controllers execute these commands to drive the guiding device. Our system is deployed on the Smart Cane platform and has been validated through simulations and real-world scenarios, and demonstrate excellent trajectory tracking capability.

Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 72%
Tactile and Sensory Interactions
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An Omnidirectional Guidance Robot System for Visually Impaired Individuals with Nonlinear MPC — Qingquan Na, Yang Li, et al. · (2024) | TGRS Research Map | TGRS