Probabilistic vs Linear Blending Approaches to Shared Control for Wheelchair Driving

Abstract : Some people with severe mobility impairments are unable to operate powered wheelchairs reliably and effectively , using commercially available interfaces. This has sparked a body of research into " smart wheelchairs " , which assist users to drive safely and create opportunities for them to use alternative interfaces. Various " shared control " techniques have been proposed to provide an appropriate level of assistance that is satisfactory and acceptable to the user. Most shared control techniques employ a traditional strategy called linear blending (LB), where the user's commands and wheelchair's autonomous commands are combined in some proportion. In this paper, however, we implement a more generalised form of shared control called probabilistic shared control (PSC). This probabilistic formulation improves the accuracy of modelling the interaction between the user and the wheelchair by taking into account uncertainty in the interaction. In this paper, we demonstrate the practical success of PSC over LB in terms of safety, particularly for novice users.
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Communication dans un congrès
IEEE Int. Conf. on Rehabilitation Robotics, ICORR'17, Jul 2017, London, United Kingdom
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  • HAL Id : hal-01523412, version 1

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Chinemelu Ezeh, Pete Trautman, Louise Devigne, Valentin Bureau, Marie Babel, et al.. Probabilistic vs Linear Blending Approaches to Shared Control for Wheelchair Driving. IEEE Int. Conf. on Rehabilitation Robotics, ICORR'17, Jul 2017, London, United Kingdom. 〈hal-01523412〉

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