Autonomous assistance navigation for robotic wheelchairs in confined spaces

Fernando Auat Cheein, Ricardo Carelli, Celso De La Cruz, Sandra Muller, Teodiano F. Bastos Filho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this work, a visual interface for the assistance of a robotic wheelchair's navigation is presented. The visual interface is developed for the navigation in confined spaces such as narrows corridors or corridor-ends. The interface performs two navigation modus: non-autonomous and autonomous. The non-autonomous driving of the robotic wheelchair is made by means of a hand-joystick. The joystick directs the motion of the vehicle within the environment. The autonomous driving is performed when the user of the wheelchair has to turn (90, -90 or 180 degrees) within the environment. The turning strategy is performed by a maneuverability algorithm compatible with the kinematics of the wheelchair and by the SLAM (Simultaneous Localization and Mapping) algorithm. The SLAM algorithm provides the interface with the information concerning the environment disposition and the pose -position and orientation- of the wheelchair within the environment. Experimental and statistical results of the interface are also shown in this work.

Original languageEnglish
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
Pages503-506
Number of pages4
ISBN (Print)9781424441235
DOIs
Publication statusPublished - 11 Nov 2010
Event32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2010 - Buenos Aires, Argentina
Duration: 31 Aug 20104 Sept 2010

Conference

Conference32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2010
Abbreviated titleEMBC'10
Country/TerritoryArgentina
CityBuenos Aires
Period31/08/104/09/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics

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