4 resultados para Motion picture theaters

em Instituto Politécnico do Porto, Portugal


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A escolha da obra The Picture of Dorian Gray para objecto de uma análise literária de pendor retórico-estilístico é, acima de tudo, fruto de um gosto muito pessoal. Partindo da leitura rigorosa da obra em questão, concentrámo-nos inicialmente no particular de forma a tentar chegar a características distintivas da produção literária de Wilde. Esta afigurou-se-nos como a melhor estratégia para atingir o objectivo que nos propúnhamos: reconhecer a existência de um padrão específico na escrita do autor e estabelecer a forma como esse padrão exemplifica uma determinada época literária. E assim foi possível descortinar que Oscar Wilde dá ao mundo um único romance onde são profundamente explorados os ideais da Arte recriada, da Beleza reabilitada e das suas Representações teatrais. The Picture of Dorian Gray abre vários precedentes literários, de entre os quais se destaca a coragem de assumir na forma os preceitos convencionados pelos estetas para a vida quotidiana. Os leitores conquistados por tais técnicas são recompensados com a sensação por vezes indefinível de terem apreciado o mais recôndito da alma humana.

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Kinematic redundancy occurs when a manipulator possesses more degrees of freedom than those required to execute a given task. Several kinematic techniques for redundant manipulators control the gripper through the pseudo-inverse of the Jacobian, but lead to a kind of chaotic inner motion with unpredictable arm configurations. Such algorithms are not easy to adapt to optimization schemes and, moreover, often there are multiple optimization objectives that can conflict between them. Unlike single optimization, where one attempts to find the best solution, in multi-objective optimization there is no single solution that is optimum with respect to all indices. Therefore, trajectory planning of redundant robots remains an important area of research and more efficient optimization algorithms are needed. This paper presents a new technique to solve the inverse kinematics of redundant manipulators, using a multi-objective genetic algorithm. This scheme combines the closed-loop pseudo-inverse method with a multi-objective genetic algorithm to control the joint positions. Simulations for manipulators with three or four rotational joints, considering the optimization of two objectives in a workspace without and with obstacles are developed. The results reveal that it is possible to choose several solutions from the Pareto optimal front according to the importance of each individual objective.

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The trajectory planning of redundant robots through the pseudoinverse control leads to undesirable drift in the joint space. This paper presents a new technique to solve the inverse kinematics problem of redundant manipulators, which uses a fractional differential of order α to control the joint positions. Two performance measures are defined to examine the strength and weakness of the proposed method. The positional error index measures the precision of the manipulator's end-effector at the target position. The repeatability performance index is adopted to evaluate if the joint positions are repetitive when the manipulator execute repetitive trajectories in the operational workspace. Redundant and hyper-redundant planar manipulators reveal that it is possible to choose in a large range of possible values of α in order to get repetitive trajectories in the joint space.

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The trajectory planning of redundant robots is an important area of research and efficient optimization algorithms are needed. The pseudoinverse control is not repeatable, causing drift in joint space which is undesirable for physical control. This paper presents a new technique that combines the closed-loop pseudoinverse method with genetic algorithms, leading to an optimization criterion for repeatable control of redundant manipulators, and avoiding the joint angle drift problem. Computer simulations performed based on redundant and hyper-redundant planar manipulators show that, when the end-effector traces a closed path in the workspace, the robot returns to its initial configuration. The solution is repeatable for a workspace with and without obstacles in the sense that, after executing several cycles, the initial and final states of the manipulator are very close.