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An intelligent optimal control system is proposed for the tracking control of an n-link robot manipulator to achieve …-link SCARA robot verify the validity of the proposed control strategy under the possible presence of uncertainties …
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Historically, scalability has been a major challenge for the successful application of semidefinite programming in fields such as machine learning, control, and robotics. In this article, we survey recent approaches to this challenge, including those that exploit structure (e.g., sparsity and...
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, production and shipment published by the Japanese Robot Association. This price data is applied (ie extrapolated) to other … autoregression (VAR). The empirical results establish a strong correlation between the labour market variables and robot investment …
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Using a novel dataset from the International Federation of Robotics (IFR), I find that robots can transform the labor market landscape and mitigate the impact of labor market frictions on financial policy decisions. Firms with more robots, which reduce labor adjustment costs and operational...
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complement non-routine labor. I show that while it is optimal to distort robot adoption, robots may be either taxed or subsidized …. The robot tax exploits general-equilibrium effects to compress the wage distribution. Wage compression reduces income …-tax distortions of labor supply, thereby raising welfare. In the calibrated model, the optimal robot tax for the US is positive and …
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Using novel matched employer-employee register data with firm-level information on the introduction of industrial robots, this paper analysis the impact of robots on the wages of workers in the manufacturing sector. The results show that industrial robots increase wages for high-skilled workers...
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