Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment. - Shingo Murata; Saki Tomioka; Ryoichi Nakajo; Tatsuro Yamada; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (ICDL-EPIROB, 2015)

Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (IROS, 2015)

Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (ICANN (1), 2016)

Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (Frontiers Neurorobotics, 2016)

Four-Part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network. - Tatsuro Yamada; Tetsuro Kitahara; Hiroaki Arie; Tetsuya Ogata (CMMR, 2017)

Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience. - Tatsuro Yamada; Saki Ito; Hiroaki Arie; Tetsuya Ogata (ICANN (1), 2017)

Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (Frontiers Neurorobotics, 2017)

Paired Recurrent Autoencoders for Bidirectional Translation Between Robot Actions and Linguistic Descriptions. - Tatsuro Yamada; Hiroyuki Matsunaga; Tetsuya Ogata (IEEE Robotics Autom. Lett., 2018)

WO3-based Hydrogen Gas Sensors Using Stacked Thin Films with Interspace. - Tatsuro Yamada; Tomiharu Yamaguchi; Kazuhiro Hara (IEEE SENSORS, 2019)

Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics. - Kanata Suzuki; Hiroshi Ito; Tatsuro Yamada; Kei Kase; Tetsuya Ogata (CoRR, 2023)