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Zheng-Meng Zhai1, Mohammadamin Moradi1, Ling-Wei Kong1
1School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, 85287, USA.
本研究介绍了用于机器人操纵器控制的无模型机器学习框架,使系统能够使用储库计算和部分观察到的状态来遵循所需的轨迹,即使有噪音和不确定性.
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