37 citations · 166 across the 16 of their papers we have counts for
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eess.SY2017★ 10 cited
Iterative Machine Learning for Precision Trajectory Tracking with Series Elastic Actuators
Nathan Banka, W. Tony Piaskowy, Joseph Garbini +1
When robots operate in unknown environments small errors in postions can lead to large variations in the contact forces, especially with typical high-impedance designs. This can po…
eess.SY2017★ 37 cited
Iterative Machine Learning for Output Tracking
Santosh Devasia
This article develops iterative machine learning (IML) for output tracking. The input-output data generated during iterations to develop the model used in the iterative update. The…