EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 417 (2025) MATEC Web Conf., 417 (2025) 08007 References
Open Access
Issue
MATEC Web Conf.
Volume 417, 2025
2025 RAPDASA-RobMech-PRASA-AMI Conference: Bridging the Gap between Industry & Academia - The 26th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, co-hosted by CSIR and Tshwane University of Technology, Pretoria
Article Number 08007
Number of page(s) 16
Section Product Design and Development
DOI https://doi.org/10.1051/matecconf/202541708007
Published online 25 November 2025
  1. M. L. Toro, C. Eke, and J. Pearlman, “The impact of the World Health Organization 8-steps in wheelchair service provision in wheelchair users in a less resourced setting: a cohort study in Indonesia,” BMC Health Services Research, vol. 16, pp. 1-12, 2015. [Google Scholar]
  2. G. Whittaker and G. Wood, “The Provision of Assistive Technology to Children with Disabilities in Humanitarian Settings: A Review of the Available Evidence on the Current State of Provision, Gaps in Evidence, and Barriers to and Facilitators of Better Delivery,” UNICEF Office of Research-Innocenti, 2022. [Google Scholar]
  3. P. C. Hunt, M. L. Boninger, R. A. Cooper, R. D. Zafonte, S. G. Fitzgerald, and M. R. Schmeler, “Demographic and socioeconomic factors associated with disparity in wheelchair customizability among people with traumatic spinal cord injury,” Archives of Physical Medicine and Rehabilitation, vol. 85, no. 11, pp. 1859-1864, 2004. [Google Scholar]
  4. M. Savage et al., Applying market shaping approaches to increase access to assistive technology: Summary of the wheelchair product narrative. World Health Organization, 2019. [Google Scholar]
  5. 남형석, “Clinically Relevant Biomedical Factors for Design & Development of Practical Upper Limb Exoskeleton Rehabilitation Robots,” 서울대학교 대학원, 2018. [Google Scholar]
  6. J. Leaman and H. M. La, “A comprehensive review of smart wheelchairs: past, present, and future,” IEEE Transactions on Human-Machine Systems, vol. 47, no. 4, pp. 486-499, 2017. [Google Scholar]
  7. R. C. Simpson, “Smart wheelchairs: A literature review,” Journal of rehabilitation research & development, vol. 42, no. 4, 2005. [Google Scholar]
  8. N. Settia and K. M. Mandal, “Exploring the potential of Arduino and ultrasonic sensor integration in radar systems,” International Research Journal on Advanced Engineering Hub (IRJAEH), vol. 2, no. 5, pp. 1530-1536, 2024. [Google Scholar]
  9. Z. B. Omariba, L. Zhang, and D. Sun, “Review on health management system for lithium-ion batteries of electric vehicles,” Electronics, vol. 7, no. 5, p. 72, 2018. [Google Scholar]
  10. D. M. Spaeth, Evaluation of an isometric joystick with control enhancing algorithms for improved driving of electric powered wheelchairs. University of Pittsburgh, 2002. [Google Scholar]
  11. D.-H. Lee, “Operator-centric joystick mapping for intuitive manual operation of differential drive robots,” Computers and Electrical Engineering, vol. 104, p. 108427, 2022. [Google Scholar]
  12. N. Azizan et al., “Medium sized industrial motor solutions to mitigate the issue of high inrush starting current,” in AIP Conference Proceedings, 2021, vol. 2339, no. 1: AIP Publishing. [Google Scholar]
  13. M. Tanelli, M. Corno, and S. Saveresi, Modelling, simulation and control of two-wheeled vehicles. John Wiley & Sons, 2014. [Google Scholar]
  14. J. Leaman, H. M. La, and L. Nguyen, “Development of a smart wheelchair for people with disabilities,” in 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2016: IEEE, pp. 279-284. [Google Scholar]
  15. P. Ramesh, S. Sudheera, and D. V. Reddy, “Distance measurement using ultrasonic sensor and Arduino,” Journal of Advanced Research in Technology and Management Sciences (JARTMS), vol. 3, no. 2, pp. 1-5, 2021. [Google Scholar]
  16. A. M. Kamal, S. H. Hemel, and M. U. Ahmad, “Comparison of linear displacement measurements between a mems accelerometer and Hc-Sr04 low-cost ultrasonic sensor,” in 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019: IEEE, pp. 1-6. [Google Scholar]
  17. M. D. Messaoudi, B.-A. J. Menelas, and H. Mcheick, “Review of navigation assistive tools and technologies for the visually impaired,” Sensors, vol. 22, no. 20, p. 7888, 2022. [Google Scholar]
  18. N. Meena et al., “Charging and discharging characteristics of Lead acid and Li-ion batteries,” in 2014 power and energy systems: towards sustainable energy, 2014: IEEE, pp. 1-3. [Google Scholar]
  19. F. Pacini, P. Dini, and L. Fanucci, “Design of an Assisted Driving System for Obstacle Avoidance Based on Reinforcement Learning Applied to Electrified Wheelchairs,” Electronics, vol. 13, no. 8, p. 1507, 2024. [Google Scholar]
  20. X. Liu, S. Lan, and J. Ni, “Analysis of process parameters effects on friction stir welding of dissimilar aluminium alloy to advanced high strength steel,” Materials & Design, vol. 59, pp. 50-62, 2014. [Google Scholar]
  21. E. Choi, T. A. Dinh, and M. Choi, “Enhancing Driving Safety of Personal Mobility Vehicles Using On-Board Technologies,” Applied Sciences (2076-3417), vol. 15, no. 3, 2025. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.