Skip to main content
Log in

Auto-navigation of a wheelchair

  • Original Paper
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

This paper presents an autonomous wheelchair system with the capability of self-localization and obstacle avoidance. In our system, the ceiling lights are chosen as landmarks to realize the self-localization of the wheelchair, and a laser range-finder is used for obstacle avoidance. First the approaches of landmark recognition and selflocalization for the wheelchair are proposed. Then the principle of obstacle avoidance using a laser range-finder is described. Finally, the total system of the wheelchair is introduced and a navigational experiment is described. Experimental results indicate the effectiveness of our system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Gomi T (1995) Subsumption architecture (in Japanese). J Jpn Soc Fuzzy Theory Syst 7:909–930

    Google Scholar 

  2. Mazo M, Rodriguez FJ, Lazaro JL, Urena J Garcia JC, Santiso E, Revenga PA (1995) Electronic control of a wheelchair guided by voice commands. J Control Eng Pract 3:665–674

    Article  Google Scholar 

  3. Fukui I (1981) TV image processing to determine the position of a robot vehicle. J Pattern Recognit 14:101–109

    Article  Google Scholar 

  4. Kabuka MR, Arenas AE (1989) Position verification of a mobile robot using standard pattern. IEEE Trans Robotics Autom 3:505–516

    Google Scholar 

  5. Chen SY, Tsai WH (1991) Determination of robot locations by common object shapes. IEEE Trans Robotics Autom 7:149–156

    Article  MathSciNet  Google Scholar 

  6. Gomi T, Ide K, Maheral P (1994) Vision-based navigation for an office messenger robot. Proc IROS'94, Muenchen, Germany, pp 2015–2022

  7. Dulimarta HS, Jain AK (1994) Mobile robot localization in indoor environment. Proc 3rd International Conference Automation, Robotics, and Computer Vision, Singapore, pp 2204–2208

  8. Hashimoto T Yamamoto S, Aso T, Abe M (1995) Vision-based vehicle navigation using ceiling fluorescent lamps at a practical speed (in Japanese). SICE Jpn 31:1672–1677

    Google Scholar 

  9. Elfes A (1987) Sonar-based real-world mapping and navigation. IEEE Trans Robotics Autom 3:249–265

    Article  Google Scholar 

  10. Borenstein J, Koren Y (1991) The vector field histogram—fast obstacle avoidance for mobile robots. IEEE Trans Robotics Autom 7:278–288

    Article  Google Scholar 

  11. Yagi Y, Kawato S, Tsuji S (1994) Real-time omnidirectional image sensor (COPIS) for vision-guided navigation. IEEE Trans Robotics Autom 10:11–22

    Article  Google Scholar 

  12. Weber K, Venkatesh S, Kieronska D (1994) Insect based navigation and its application to the autonomous control of mobile robots. Proc 3rd International Conference Automation, Robotics, Computer Vision, Singapore, pp 1228–1232

  13. Wang HB, Tanaka S, Kang C, Ishimatsu T (1995) Computer control of wheelchair by using landmarks. Proc 10th Korea Automatic Control Conference, International program, Seoul Korea, pp 388–391

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Honbo Wang.

About this article

Cite this article

Wang, H., Kang, CU., Ishimatsu, T. et al. Auto-navigation of a wheelchair. Artificial Life and Robotics 1, 141–146 (1997). https://doi.org/10.1007/BF02471129

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02471129

Key words

Navigation