4 resultados para GRASP-CP

em Universidad Politécnica de Madrid


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Abstract is not available.

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Conventional programming techniques are not well suited for solving many highly combinatorial industrial problems, like scheduling, decision making, resource allocation or planning. Constraint Programming (CP), an emerging software technology, offers an original approach allowing for efficient and flexible solving of complex problems, through combined implementation of various constraint solvers and expert heuristics. Its applications are increasingly elded in various industries.

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Small punch (SP) test techniques are typically used to study the mechanical properties of materials or components from miniature size specimens. This kind of test was originally developed to assess ductility loss in steel caused by irradiation or thermal treatment, particularly when the amount of metal was limited, but it soon proved to be a powerful method to estimate several properties.

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This paper presents the implementation of a robust grasp mapping between a 3-finger haptic device (master) and a robotic hand (slave). Mapping is based on a grasp equivalence defined considering the manipulation capabilities of the master and slave devices. The metrics that translate the human hand gesture to the robotic hand workspace are obtained through an analytical user study. This allows a natural control of the robotic hand. The grasp mapping is accomplished defining 4 control modes that encapsulate all the grasps gestures considered.