Incremental Semiparametric Inverse Dynamics Learning

Raffaello Camoriano; Silvio Traversaro; Lorenzo Rosasco; Giorgio Metta; Francesco Nori

doi:10.1109/icra.2016.7487177

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arXiv · 1601.04549

Incremental Semiparametric Inverse Dynamics Learning

Raffaello Camoriano·Silvio Traversaro·Lorenzo Rosasco·Giorgio Metta·Francesco Nori

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Abstract

This paper presents a novel approach for incremental semiparametric inverse dynamics learning. In particular, we consider the mixture of two approaches: Parametric modeling based on rigid body dynamics equations and nonparametric modeling based on incremental kernel methods, with no prior information on the mechanical properties of the system. This yields to an incremental semiparametric approach, leveraging the advantages of both the parametric and nonparametric models. We validate the proposed technique learning the dynamics of one arm of the iCub humanoid robot.

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Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori. 2016-01-18. Incremental Semiparametric Inverse Dynamics Learning. https://doi.org/10.1109/icra.2016.7487177

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