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Hirokazu Ishida

1 accepted papers

2021

Classifier-Aided Maximization of Feasible- Error-Region for Robust Manipulation Learning

RA-L 2021

In this study, we propose an algorithm that enables the active learning of a manipulation skill that is robust to the estimation error of an object's position. First, we propose the concept of a feasible error region (FER) unique to each manipulation parameter. As the name implies, FER is a region o

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