Gait algorithm of personal mobility vehicle for negotiating obstacles.

Purpose: Personal mobility vehicles (PMVs) are under active development. Most PMVs are wheel-driven, a mode of transport notable for its efficiency. However, wheeled PMVs tend to have poor mobility against negotiating obstacles. The four-wheeled vehicle RT-Mover PType 3 has been developed featuring...

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Publicado en:Disability & Rehabilitation: Assistive Technology Vol. 9; no. 2; pp. 151 - 164
Autor principal: Nakajima, Shuro
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Mar2014
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2014
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        atl: Gait algorithm of personal mobility vehicle for negotiating obstacles.
      aug:
        au: Nakajima, Shuro
      sug:
        subj:
          Assistive Technology Devices
          Motor Vehicles
          Equipment Design
          Software
          Walking
          Human
          Funding Source
      ab: Purpose: Personal mobility vehicles (PMVs) are under active development. Most PMVs are wheel-driven, a mode of transport notable for its efficiency. However, wheeled PMVs tend to have poor mobility against negotiating obstacles. The four-wheeled vehicle RT-Mover PType 3 has been developed featuring wheeled legs capable of leg motion. This allows the PMV to overcome uneven terrains, including a step approached at an angle, which ordinary wheelchairs cannot negotiate. Method: This article discusses a gait algorithm in which a leg executes the necessary leg motion when optionally presented with obstacles on a road. In order to lift a wheel off the ground and perform a leg motion, the support wheels must be moved to support points to ensure that the vehicle remains stable on three wheels. When moving towards the target support point, a wheel may encounter another obstacle, and a response method for this case is also described. Results: To assess the gait algorithm, several configurations of obstacles were used for performance tests with a passenger. The capabilities of the PMV were demonstrated through experiments. Conclusion: We proposed a novel gait algorithm for our PMV and realised the proposed motion pattern for PMV-based negotiating obstacles.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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