Design of a Raspberry Pi 4B-Based Guide Robot with YOLO-v10 Integration

This paper addresses the numerous challenges by visually impaired individuals in their daily travels by designing an intelligent guide robot based on Raspberry Pi 4B combined with YOLO-v10. The robotemploys the Raspberry Pi 4B as its core processor and integrates the advanced YOLO-v10 object detection algorithm to accurately identify obstacles and pedestrians, ensuring safe navigation in complex environments. By incorporating multiple sensors and a voice interaction system, the robot can not only avoid obstacles in real time but also intelligently plan paths based on environmental changes, providing users with intuitive navigation cues through voice prompts. Additionally, the remote monitoring feature allows family members to track the user’s location and safety status at any time, significantly enhancing the independence and travel safety of visually impaired individuals. This innovation holds substantial social application value.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/cisce65916.2025.11065537
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Design of a Raspberry Pi 4B-Based Guide Robot with YOLO-v10 Integration

Kangle Li, Changxiao Ma, Yinqing Xie, Xiaojie Fan et al.
IoT-based Smart Home Systems
article

Design of a Raspberry Pi 4B-Based Guide Robot with YOLO-v10 Integration

Kangle Li, Changxiao Ma, Yinqing Xie, Xiaojie Fan, Jianing Liang, Yiran Yin
article en

Abstract

This paper addresses the numerous challenges by visually impaired individuals in their daily travels by designing an intelligent guide robot based on Raspberry Pi 4B combined with YOLO-v10. The robotemploys the Raspberry Pi 4B as its core processor and integrates the advanced YOLO-v10 object detection algorithm to accurately identify obstacles and pedestrians, ensuring safe navigation in complex environments. By incorporating multiple sensors and a voice interaction system, the robot can not only avoid obstacles in real time but also intelligently plan paths based on environmental changes, providing users with intuitive navigation cues through voice prompts. Additionally, the remote monitoring feature allows family members to track the user’s location and safety status at any time, significantly enhancing the independence and travel safety of visually impaired individuals. This innovation holds substantial social application value.

Dalian University of Technology (CN), Dalian University (CN)
Openalex Percentile: Top 85%
IoT-based Smart Home Systems
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Design of a Raspberry Pi 4B-Based Guide Robot with YOLO-v10 Integration — Kangle Li, Changxiao Ma, et al. · (2025) | TGRS Research Map | TGRS