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Navigating a Robotic Wheelchair in a Railway Station during Rush Hour

Research Institute for Applied Knowledge Processing (FAW), D-89010 Ulm, Germanyprassler{at}faw.uni-ulm.de

J. Scholz

Research Institute for Applied Knowledge Processing (FAW), D-89010 Ulm, Germanyscholz{at}faw.uni-ulm.de

P. Fiorini

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USAfiorini{at}jpl.nasa.gov

This paper describes the hardware design, control, and navigation system of and some preliminary experiments with the robotic wheelchair Mobility Aid for elderly and disabled people (MAid). MAid’s general task is to transport people with severely impaired motion skills. The authors did not set out to reinvent and redevelop the set of standard skills of so-called intelligent wheelchairs, such as Follow Wall, FollowCorridor, PassDoorway, which are commonly described in the literature. These maneuvers require motion control skills that disabled people, in spite of their disabilities, are eager to learn and quite good at using. Instead, this work focused on generalizing the approach to fine motion control by considering those maneuvers identified as very burdensome due to their duration and required concentration. One of these functions is deliberative locomotion in rapidly changing, large-scale environments, such as shopping malls, entry halls of theaters, and concourses of airports or railway stations, where tens or hundreds of people and objects move around. MAid’s performance was tested in the central station of Ulm during rush hour and in the exhibition halls of the Hannover Messe ’98, the largest industrial fair in the world. Altogether, MAid has survived more than 36 h of testing in public, crowded environments with heavy passenger traffic.

The International Journal of Robotics Research, Vol. 18, No. 7, 711-727 (1999)
DOI: 10.1177/02783649922066529


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