Incremental local online Gaussian Mixture Regression for imitation learning of multiple tasks

Abstract

Gaussian Mixture Regression has been shown to be a powerful and easy-to-tune regression technique for imitation learning of constrained motor tasks in robots. Yet, current formulations are not suited when one wants a robot to learn incrementally and online a variety of new context-dependant tasks whose number and complexity is not known at programming time… (More)
DOI: 10.1109/IROS.2010.5652040

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