Please use this identifier to cite or link to this item: https://doi.org/10.1080/17483100802280923
Title: Collaborative path planning for a robotic wheelchair
Authors: Zeng, Q.
Teo, C.L. 
Rebsamen, B. 
Burdet, E. 
Keywords: experiments
human-machine collaboration
learning
path guidance
path planning
Robotic wheelchair
Issue Date: 2008
Source: Zeng, Q.,Teo, C.L.,Rebsamen, B.,Burdet, E. (2008). Collaborative path planning for a robotic wheelchair. Disability and Rehabilitation: Assistive Technology 3 (6) : 315-324. ScholarBank@NUS Repository. https://doi.org/10.1080/17483100802280923
Abstract: Generating a path to guide a wheelchair's motion faces two challenges. First, the path is located in the human environment and that is usually unstructured and dynamic. Thus, it is difficult to generate a reliable map and plan paths on it by artificial intelligence. Second, the wheelchair, whose task is to carry a human user, should move on a smooth and comfortable path adapted to the user's intentions. To meet these challenges, we propose that the human operator and the robot interact to create and gradually improve a guide path. This paper introduces design tools to enable an intuitive interaction, and reports experiments performed with healthy subjects in order to investigate this collaborative path learning strategy. We analyzed features of the optimal paths and user evaluation in representative conditions. This was complemented by a questionnaire filled out by the subjects after the experiments. The results demonstrate the effectiveness of this approach, and show the utility and complementarity of the tools to design ergonomic guide paths. © 2008 Informa UK Ltd All rights reserved.
Source Title: Disability and Rehabilitation: Assistive Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/55318
ISSN: 17483107
DOI: 10.1080/17483100802280923
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