A Data-Efficient Geometrically Inspired Polynomial Kernel for Robot Inverse Dynamic
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DOI: 10.1109/lra.2019.2945240
Abstract: In this letter, we introduce a novel data-driven inverse dynamics estimator based on Gaussian Process Regression. Driven by the fact that the inverse dynamics can be described as a polynomial function on a suitable input… read more here.
Keywords: inspired polynomial; inverse dynamics; geometrically inspired; data efficient ... See more keywords