Title of article
Wheelchair collaborative control for disabled users navigating indoors
Author/Authors
Urdiales، نويسنده , , Cristina and Fernلndez-Carmona، نويسنده , , Manuel and Peula، نويسنده , , José M. and Cortés، نويسنده , , Ulises and Annichiaricco، نويسنده , , Roberta and Caltagirone، نويسنده , , Carlo and Sandoval، نويسنده , , Francisco، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
15
From page
177
To page
191
Abstract
Objective
ty is of key importance for autonomous living. Persons with severe disabilities may be assisted by robotic wheelchairs when manual control is not possible. However, these persons should contribute to control as much as they can to avoid loss of residual skills and frustration. Traditionally, wheelchair shared control approaches either give control to person or robot depending on the situation.
s and materials
pose a new shared control technique where robot and person contribute simultaneously to control. Their commands are weighted according to their respective local efficiencies and then combined via a reactive navigation strategy. Thus, assistance adapts to the user’s needs. We refer to this approach as collaborative control.
s
orative control was tested in a home environment in Fondazione Santa Lucia (Rome) by 18 volunteers presenting different degrees of physical and cognitive disability. All of them successfully finished a complex test path with assistance. Both users and caregivers’ opinion on the system was very positive. Acceptance was very good according to the psychosocial impact of assistive devices scale.
sions
orative control adapts to the person’s needs and assists him/her when necessary, locally compensating any problem related to specific disabilities. An ANOVA returned a p-value of 0.016, meaning that there is significant improvement in task performance when collaborative control is used.
Keywords
Assisted wheelchair navigation , Collaborative control , Reactive architecture , Rehabilitation , Adaptive assistance
Journal title
Artificial Intelligence In Medicine
Serial Year
2011
Journal title
Artificial Intelligence In Medicine
Record number
1837041
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