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This study explores manipulator control using reinforcement learning, specifically targeting anthropomorphic gripper-equipped robots, with the objective of enhancing the robots' ability to safely exchange diverse objects with humans during human–robot interactions (HRIs). The study integrates an adaptive HRI hand for versatile grasping and incorporates image recognition for efficient object identification and precise coordinate estimation. A tailored reinforcement-learning environment enables the robot to dynamically adapt to diverse scenarios. The effectiveness of this approach is validated through simulations and real-world applications. The HRI hand's adaptability ensures seamless interactions, while image recognition enhances cognitive capabilities. The reinforcement-learning framework enables the robot to learn and refine skills, demonstrated through successful navigation and manipulation in various scenarios. The transition from simulations to real-world applications affirms the practicality of the proposed system, showcasing its robustness and potential for integration into practical robotic platforms. This study contributes to advancing intelligent and adaptable robotic systems for safe and dynamic HRIs. [ABSTRACT FROM AUTHOR]

US output is more strongly correlated with the output of energy-exporting countries than with that of energy-importing countries. I first document this empirical finding, then construct a three-country model in which countries' different energy production and trade structures are considered. The three countries are the USA (an energy importer), a non-US energy importer, and an energy exporter. Consistent with the empirical findings, the model produces a higher output correlation between the USA and the energy exporter than between the USA and the energy importer. A positive productivity shock in the USA, raising its output, leads to increases in energy prices and its import demand for energy. The increased energy prices adversely influence output in the energy importer, whereas the rise in US energy imports has positive effects on output in the energy exporter, enabling the correlation of US output with the exporter's output to be higher. [ABSTRACT FROM AUTHOR]

This paper examines whether U.S. monetary policy has different effects on young and old countries. I first empirically show that a contractionary U.S. monetary policy shock brings about a smaller fall in output and a greater rise in net exports in old countries using vector autoregressions (VARs), and that the shock leads to a larger fall in consumption and a smaller decrease in investment in old countries using the local projection method. I then construct a three‐country life‐cycle model including the U.S., a young country, and an old country. Consistent with the empirical analyses, the simulation results of the model show that a contractionary U.S. monetary policy shock has weaker effects on output in the old country than in the young country. In response to the shock, despite a larger fall in consumption in the old country, investment there decreases by less and net exports rise by more, which enables output in the old country to decline by less. The stronger incentives to save in the old country, resulting from the longer life expectancy and hence the longer retirement period, play a key role in generating these results. [ABSTRACT FROM AUTHOR]