location:Home > 2025 Vol.8 Dec.N06 > Research and Application of a Low-Cost, High-Precision Blind-Assisted Walking Robot

2025 Vol.8 Dec.N06

  • Title: Research and Application of a Low-Cost, High-Precision Blind-Assisted Walking Robot
  • Name: Haozhe Bu , Ziqiang Wang, Zongliang Zhang , Yunfei Wang ,Ning C
  • Company: School of Mechanical and Electrical Engineering, Zhengzhou Business University,ZhengZhou,451200 China
  • Abstract:

    To address the pain points of existing intelligent walking assistance devices, such as high cost, weak adaptability to complex scenarios, and high learning threshold for users, this paper proposes a solution for a blind-assisted walking robot based on multi-sensor collaboration and low-cost modular design. By optimizing sensor selection and structural design, the device achieves high-precision environmental perception while controlling costs. It is equipped with a wireless charging system to enhance usability and aligns with policy orientations to strengthen its social popularization value, providing visually impaired individuals with an affordable, safe, and reliable travel assistance tool.


  • Keyword: Blind-Assisted Walking Robot; Low-Cost Design; Wireless Charging
  • DOI: 10.12250/jpciams2025091102
  • Citation form: Haozhe Bu , Ziqiang Wang, Zongliang Zhang , Yunfei Wang ,Ning Chen .Research and Application of a Low-Cost, High-Precision Blind-Assisted Walking Robot[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.
Reference:

[1] Wang W Y. Research on the Design of Intelligent Walking Assistance Products for the Visually Impaired [D]. Tianjin Academy of Fine Arts, 2023.

[2]  Liu M Y. Research on the Design of Travel Companion Products for the Visually Impaired Based on Situational Awareness [D]. South China University of Technology, 2020.

[3]  Li C J. Research on the Design of Barrier-Free Walking Assistance Products for the Blind [D]. Qingdao University of Science and Technology, 2021.

[4] Gao X L. Research on Accessibility Design of Walking Assistance Products for the Blind Based on Environmental Perception [D]. Qingdao University of Technology, 2021.


Tsuruta Institute of Medical Information Technology
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