14 research outputs found

    The power dissipation method and kinematic reducibility of multiple-model robotic systems

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    Scalable Variational Integrators for Constrained Mechanical Systems in Generalized Coordinates

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    Kinematic Reducibility of Multiple Model Systems

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    This paper considers the relationship between second order multiple model systems and first order multiple model systems. Such a relationship is important to, among other things, studying path planning for mechanical control systems. This is largely due to the fact that the computational complexity of a path planning problem rapidly increases with the dimension of the state space, implying that being able to reduce a path planning problem from TQ to Q can be helpful. Not surprisingly, the necessary and sufficient condition for such a reduction is that each model constituting a multiple model control system be reducible. We present an extensive example in order to illustrate how these results can provide insight into the control of some specific physical systems

    Drawing Robots for Rehabilitation

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