A Low Cost Robotic Wheelchair System Using a Pan-Tilt Camera and a Visual Marker

In this paper, a low cost robotic wheelchair system with only a pan-tilt camera is explained. In order to reduce the development cost, an electric wheelchair using a visual marker which is capable of achieving a high level of precision in positioning an electric wheelchair without geometric features is proposed. Then, indoor navigation methods are explained, which enable automatic and hybrid navigation of an electric wheelchair with only a pan-tilt camera. Finally, experiment results obtained by considering a particular scenario for indoor navigation reveal the feasibility of the proposed robotic wheelchair system.

[1]  Iñaki Iturrate,et al.  Synchronous EEG brain-actuated wheelchair with automated navigation , 2009, 2009 IEEE International Conference on Robotics and Automation.

[2]  Hendrik Van Brussel,et al.  Adaptable navigational assistance for intelligent wheelchairs by means of an implicit personalized user model , 2010, Robotics Auton. Syst..

[3]  Hendrik Van Brussel,et al.  Shared control for intelligent wheelchairs: an implicit estimation of the user intention , 2003 .

[4]  Christian Mandel,et al.  Navigating a smart wheelchair with a brain-computer interface interpreting steady-state visual evoked potentials , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Yoshio Matsumoto,et al.  A high-accuracy visual marker based on a microlens array , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Norihiro Hagita,et al.  Human-comfortable navigation for an autonomous robotic wheelchair , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Yoshio Matsumoto,et al.  Avisual marker for precise pose estimation based on lenticular lenses , 2012, 2012 IEEE International Conference on Robotics and Automation.

[8]  Teodiano Freire Bastos Filho,et al.  Solution to a door crossing problem for an autonomous wheelchair , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.