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A challenging aspect of model-to-code transformations is to ensure that the semantic behavior of the input model is preserved in the output code. When constructing concurrent systems, this is mainly difficult due to the non-deterministic potential interaction between threads. In this paper, we consider this issue for a framework that implements a transformation chain from models expressed in the state...
This paper presents a novel design of a three degrees of freedom (DOFs) MEMS-based precision manipulator. The purpose of the manipulator is to position a microscope tool on the work plate doing small movement tasks. A parallel kinematic mechanism with three legs is used to convert the motion of longitudinal comb-drives into three direction translations at the end-effector. Each leg has three joints...
This paper presents a comparison study of two unique micro-motion parallel kinematic manipulators (PKM): a three degrees of freedom (DOF) micro-motion PKM and a 3-DOF micro-motion PKM with actuation redundancy. The 3-DOF micro-motion PKM has three linear-motion driving units, while the 3-DOF micro-motion PKM with actuator redundancy has four of these units. For both designs, the linear motion driving...
There has been a growing interest of parallel mechanisms which offer a high degree of precision, stiffness and dexterity to name just a few of their benefits as opposed to their traditional serial counterparts. For the applications of parallel mechanisms in the field of sensor, previous work was focused on investigating the 6 degree-of-freedom force/torque sensors based on common Gough-Stewart platform...
CUDA is a new computing architecture introduced by NVIDIA Corporation, aiming at general purpose computation on GPU. The architecture has strong compute power in the compute-intensive applications and data-intensive applications, so in recent years, how the framework is applied to the scientific computing has become a hot research. The iterative method for solving systems of linear equations in engineering...
Global Stiffness design and optimization of parallel mechanisms can be a difficult and time-consuming exercise in parallel robot design, especially when the variables are multifarious and the objective functions are too complex. To address this issue, optimization techniques based on kinetostatic model and genetic algorithms are investigated as the effective criteria. First, a 5-DOF parallel mechanism...
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