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Masahide Kaneko

2 accepted papers

2018

Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process

IROS 2018poster

Humans recognize perceived continuous information by dividing it into significant segments such as words and unit motions. We believe that such unsupervised segmentation is also an important ability that robots need to learn topics such as language and motions. Hence, in this paper, we propose a met…

Cited by 19SourceScholar
2015

Concept formation by robots using an infinite mixture of models

IROS 2015poster

We propose a method for a robot to form various concepts. The robot uses its embodiment to obtain visual, auditory, and haptic information by grasping, shaking, and observing objects. At the same time, a user teaches the robot object features through speech. From these kinds of information, the robo…

Cited by 21SourceScholar