96 A Survey of Iterative Learning Control Al earning-based method for high-performance tracking control

By B. A. Güvenç, E. Kural, A. Stubbs, V. Vladimerou, A. Fulford, Derek King, J. Strick, Geir E. Dullerud. 2006

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Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations (2010, methodology): “Therefore, using a variant of iterative learning control [9], [25], we adapt the target trajectory based”
Meshworm: A Peristaltic Soft Robot With Antagonistic Nickel Titanium Coil Actuators (2013, background): “ILC works on the iteration axis, such that it uses information from past trials to correct its action, effectively learning from past performance [25], [26].”
Iterative Learning Control: Brief Survey and Categorization (2007, methodology): “A time-frequency adaptive Q-filter ILC was suggested for nonsmooth-nonlinearity compensation by Zheng in [513], and the idea was used for an injection molding machine.”