Constructivist approach to human-robot emotional communication - design of evolutionary function for WAMOEBA-3. - Yuki Suga; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (Humanoids, 2004)

Reinforcement Learning Algorithm with CTRNN in Continuous Action Space. - Hiroaki Arie; Jun Namikawa; Tetsuya Ogata; Jun Tani; Shigeki Sugano (ICONIP (1), 2006)

Reinforcement learning of a continuous motor sequence with hidden states. - Hiroaki Arie; Tetsuya Ogata; Jun Tani; Shigeki Sugano (Adv. Robotics, 2007)

Integrative Learning between Language and Action: A Neuro-Robotics Experiment. - Hiroaki Arie; Tetsuro Endo; Sungmoon Jeong; Minho Lee; Shigeki Sugano; Jun Tani (ICANN (2), 2010)

Developmental learning of integrating visual attention shifts and bimanual object grasping and manipulation tasks. - Sungmoon Jeong; Minho Lee; Hiroaki Arie; Jun Tani (ICDL, 2010)

Recognition and Generation of Sentences through Self-organizing Linguistic Hierarchy Using MTRNN. - Wataru Hinoshita; Hiroaki Arie; Jun Tani; Tetsuya Ogata; Hiroshi G. Okuno (IEA/AIE (3), 2010)

Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks. - Hiromitsu Awano; Shun Nishide; Hiroaki Arie; Jun Tani; Toru Takahashi 001; Hiroshi G. Okuno; Tetsuya Ogata (ICONIP (3), 2011)

Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task. - Sungmoon Jeong; Yunjung Park; Hiroaki Arie; Jun Tani; Minho Lee 001 (ICONIP (1), 2011)

High-accuracy IMES localization using a movable receiver antenna and a three-axis attitude sensor. - Yoshihiro Sakamoto; Hiroaki Arie; Takuji Ebinuma; Kenjiro Fujii; Shigeki Sugano (IPIN, 2011)

Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network. - Wataru Hinoshita; Hiroaki Arie; Jun Tani; Hiroshi G. Okuno; Tetsuya Ogata (Neural Networks, 2011)

Imitating others by composition of primitive actions: A neuro-dynamic model. - Hiroaki Arie; Takafumi Arakaki; Shigeki Sugano; Jun Tani (Robotics Auton. Syst., 2012)

Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism. - Shingo Murata; Jun Namikawa; Hiroaki Arie; Jun Tani; Shigeki Sugano (ICDL-EPIROB, 2013)

Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance. - Shingo Murata; Jun Namikawa; Hiroaki Arie; Jun Tani; Shigeki Sugano (ICONIP (1), 2013)

Sensor prediction and grasp stability evaluation for in-hand manipulation. - Kohei Kojima; Takashi Sato; Alexander Schmitz; Hiroaki Arie; Hiroyasu Iwata; Shigeki Sugano (IROS, 2013)

Multimodal integration learning of object manipulation behaviors using deep neural networks. - Kuniaki Noda; Hiroaki Arie; Yuki Suga; Tetsuya Ogata (IROS, 2013)

Intersensory Causality Modeling Using Deep Neural Networks. - Kuniaki Noda; Hiroaki Arie; Yuki Suga; Tetsuya Ogata (SMC, 2013)

Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring. - Shingo Murata; Jun Namikawa; Hiroaki Arie; Shigeki Sugano; Jun Tani (IEEE Trans. Auton. Ment. Dev., 2013)

Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. - Shingo Murata; Hiroaki Arie; Tetsuya Ogata; Jun Tani; Shigeki Sugano (ICANN, 2014)

Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation. - Kuniyuki Takahashi; Tetsuya Ogata; Hadi Tjandra; Shingo Murata; Hiroaki Arie; Shigeki Sugano (ICANN, 2014)

Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others. - Shingo Murata; Yuichi Yamashita; Hiroaki Arie; Tetsuya Ogata; Jun Tani; Shigeki Sugano (ICDL-EPIROB, 2014)

Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism. - Shingo Murata; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano; Jun Tani (Adv. Robotics, 2014)

Multimodal integration learning of robot behavior using deep neural networks. - Kuniaki Noda; Hiroaki Arie; Yuki Suga; Tetsuya Ogata (Robotics Auton. Syst., 2014)

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)

Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. - Ryoichi Nakajo; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (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)

Methods for improving IMES transmitters: Transmission diversity, variable beamwidth antenna, and leaky coaxial cable. - Kenjiro Fujii; Takamasa Kawaguchi; Hisanori Matsumoto; Makoto Tanikawara; Takashi Toyama; Yoshihiro Sakamoto; Wei Wang 066; Hiroaki Arie; Alexander Schmitz; Shigeki Sugano (SII, 2015)

Hyperbolic Positioning with Antenna Arrays and Multi-Channel Pseudolite for Indoor Localization. - Kenjiro Fujii; Yoshihiro Sakamoto; Wei Wang 066; Hiroaki Arie; Alexander Schmitz; Shigeki Sugano (Sensors, 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)

Emergence of interactive behaviors between two robots by prediction error minimization mechanism. - Yiwen Chen; Shingo Murata; Hiroaki Arie; Tetsuya Ogata; Jun Tani; Shigeki Sugano (ICDL-EPIROB, 2016)

Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty. - Ryoichi Nakajo; Maasa Takahashi; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (ICONIP (4), 2016)

Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. - Shingo Murata; Kai Hirano; Hiroaki Arie; Shigeki Sugano; Tetsuya Ogata (SII, 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)

Improving IMES Localization Accuracy by Integrating Dead Reckoning Information. - Kenjiro Fujii; Hiroaki Arie; Wei Wang 066; Yuto Kaneko; Yoshihiro Sakamoto; Alexander Schmitz; Shigeki Sugano (Sensors, 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)

Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. - Shingo Murata; Yuichi Yamashita; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano; Jun Tani (IEEE Trans. Neural Networks Learn. Syst., 2017)

Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks. - Ryoichi Nakajo; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (Frontiers Neurorobotics, 2018)

Learning to Achieve Different Levels of Adaptability for Human-Robot Collaboration Utilizing a Neuro-Dynamical System. - Shingo Murata; Yuxi Li; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (IEEE Trans. Cogn. Dev. Syst., 2018)

Achieving Human-Robot Collaboration with Dynamic Goal Inference by Gradient Descent. - Shingo Murata; Wataru Masuda; Jiayi Chen; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (ICONIP (2), 2019)

RRT-based maximum entropy inverse reinforcement learning for robust and efficient driving behavior prediction. - Shinpei Hosoma; Masato Sugasaki; Hiroaki Arie; Masamichi Shimosaka (IV, 2022)