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Chen et al. Intell Robot 2024;4:179-95 I http://dx.doi.org/10.20517/ir.2024.11 Page 193
such as the challenges in highly dynamic environments, which highlight areas for future improvement. Future
research should focus on optimizing algorithms to enhance adaptability in dynamic settings and integrating
cutting-edge sensing technologies. Additionally, real-world testing and validation are essential to further re-
fine the method and ensure its practical applicability in various environmental conditions. Overall, this work
is expected to provide new opportunities for improving the quality of life for individuals with mobility impair-
ments.
DECLARATIONS
Authors’ contributions
Wrote the manuscript: Chen X
Made substantial contributions to conception and design of the study and performed data analysis and
inter-pretation: Chen X, Wang Y
Performed data acquisition and provided technical support: Chen C
Provided administrative and material support: Leng Y, Fu C
Availability of data and materials
The experiment data is available upon request. Please contact the corresponding author by email.
Financial support and sponsorship
This work was supported by the National Natural Science Foundation of China [Grant U1913205, 62103180
and52175272], theScience, Technology and Innovation Commission of Shenzhen Municipality
[KCXFZ20230731093401004, ZDSYS20200811143601004], and the Stable Support Plan Program of
Shenzhen Natural Science Fund [Grant 20200925174640002].
Conflicts of interest
All authors declared that there are no conflicts of interest.
Ethical approval and consent to participate
Data collection was approved and performed under the supervision of the Sustech Medical Ethics Committee
(approval number: 20210009, date: 2021/3/2). The consent to participate is signed by the human subject.
Consent for publication
Not applicable.
Copyright
© The Author(s) 2024.
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