Journal of Intelligent and Robotic Systems

, Volume 34, Issue 3, pp 315–329

Semi-autonomous Navigation of a Robotic Wheelchair

  • Antonis Argyros
  • Pantelis Georgiadis
  • Panos Trahanias
  • Dimitris Tsakiris
Article

DOI: 10.1023/A:1016371922451

Cite this article as:
Argyros, A., Georgiadis, P., Trahanias, P. et al. Journal of Intelligent and Robotic Systems (2002) 34: 315. doi:10.1023/A:1016371922451

Abstract

The present work considers the development of a wheelchair for people with special needs, which is capable of navigating semi-autonomously within its workspace. This system is expected to prove useful to people with impaired mobility and limited fine motor control of the upper extremities. Among the implemented behaviors of this robotic system are the avoidance of obstacles, the motion in the middle of the free space and the following of a moving target specified by the user (e.g., a person walking in front of the wheelchair). The wheelchair is equipped with sonars, which are used for distance measurement in preselected critical directions, and with a panoramic camera with a 360 degree field of view, which is used for following a moving target. After suitably processing the color sequence of the panoramic images using the color histogram of the desired target, the orientation of the target with respect to the wheelchair is determined, while its distance is determined by the sonars. The motion control laws developed for the system use the sensory data and take into account the non-holonomic kinematic constraints of the wheelchair, in order to guarantee certain desired features of the closed-loop system, such as stability. Moreover, they are as simplified as possible to minimize implementation requirements. An experimental prototype has been developed at ICS–FORTH, based on a commercially-available wheelchair. The sensors, the computing power and the electronics needed for the implementation of the navigation behaviors and of the user interfaces (touch screen, voice commands) were developed as add-on modules and integrated with the wheelchair.

wheelchairsrobot navigationnon-holonomic mobile robotsperson followingsensor-based controlpanoramic cameras

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Antonis Argyros
    • 1
  • Pantelis Georgiadis
    • 1
  • Panos Trahanias
    • 1
  • Dimitris Tsakiris
    • 1
  1. 1.Foundation for Research and Technology – Hellas (FORTH), Vasilika VoutonInstitute of Computer ScienceCreteGreece