Multimodal Hierarchical Dirichlet Process-Based Active Perception by a Robot

Multimodal Hierarchical Dirichlet Process-Based Active Perception by a Robot

In this paper, we propose an active perception method for recognizing object categories based on the multimodal hierarchical Dirichlet process (MHDP). The MHDP enables a robot to form object categories using multimodal information, e.g., visual, auditory, and haptic information, which can be observe...

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Bibliographic Details
Main Authors: Tadahiro Taniguchi, Ryo Yoshino, Toshiaki Takano
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-05-01
Series:Frontiers in Neurorobotics
Subjects:
active perception
cognitive robotics
topic model
multimodal machine learning
submodular maximization
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2018.00022/full

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https://www.frontiersin.org/article/10.3389/fnbot.2018.00022/full

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