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ORCIDHiroaki Arie
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2020 – today
- 2022
[c28]Shinpei Hosoma, Masato Sugasaki, Hiroaki Arie, Masamichi Shimosaka:
RRT-based maximum entropy inverse reinforcement learning for robust and efficient driving behavior prediction. IV 2022: 1353-1359
2010 – 2019
- 2019
- [c27]Shingo Murata, Wataru Masuda, Jiayi Chen, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano
:
Achieving Human-Robot Collaboration with Dynamic Goal Inference by Gradient Descent. ICONIP (2) 2019: 579-590 - 2018
- [j13]Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks. Frontiers Neurorobotics 12: 46 (2018) - [j12]Shingo Murata, Yuxi Li, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano:
Learning to Achieve Different Levels of Adaptability for Human-Robot Collaboration Utilizing a Neuro-Dynamical System. IEEE Trans. Cogn. Dev. Syst. 10(3): 712-725 (2018) - 2017
- [j11]Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions. Frontiers Neurorobotics 11: 70 (2017) - [j10]Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani:
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. IEEE Trans. Neural Networks Learn. Syst. 28(4): 830-848 (2017) - [c26]Tatsuro Yamada, Tetsuro Kitahara, Hiroaki Arie, Tetsuya Ogata:
Four-Part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network. CMMR 2017: 213-225 - [c25]Tatsuro Yamada, Saki Ito, Hiroaki Arie, Tetsuya Ogata:
Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience. ICANN (1) 2017: 35-42 - 2016
- [j9]Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction. Frontiers Neurorobotics 10: 5 (2016) - [j8]Kenjiro Fujii, Hiroaki Arie, Wei Wang, Yuto Kaneko, Yoshihiro Sakamoto, Alexander Schmitz, Shigeki Sugano:
Improving IMES Localization Accuracy by Integrating Dead Reckoning Information. Sensors 16(2): 163 (2016) - [c24]Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN. ICANN (1) 2016: 339-346 - [c23]Yiwen Chen, Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Emergence of interactive behaviors between two robots by prediction error minimization mechanism. ICDL-EPIROB 2016: 302-307 - [c22]Ryoichi Nakajo, Maasa Takahashi, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty. ICONIP (4) 2016: 228-235 - [c21]Shingo Murata, Kai Hirano, Hiroaki Arie, Shigeki Sugano, Tetsuya Ogata:
Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. SII 2016: 343-348 - 2015
- [j7]Kenjiro Fujii, Yoshihiro Sakamoto, Wei Wang, Hiroaki Arie, Alexander Schmitz, Shigeki Sugano:
Hyperbolic Positioning with Antenna Arrays and Multi-Channel Pseudolite for Indoor Localization. Sensors 15(10): 25157-25175 (2015) - [c20]Shingo Murata, Saki Tomioka, Ryoichi Nakajo, Tatsuro Yamada, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano:
Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment. ICDL-EPIROB 2015: 302-307 - [c19]Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. ICDL-EPIROB 2015: 326-331 - [c18]Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction. IROS 2015: 4179-4184 - [c17]Kenjiro Fujii, Takamasa Kawaguchi, Hisanori Matsumoto, Makoto Tanikawara, Takashi Toyama, Yoshihiro Sakamoto, Wei Wang, Hiroaki Arie, Alexander Schmitz, Shigeki Sugano:
Methods for improving IMES transmitters: Transmission diversity, variable beamwidth antenna, and leaky coaxial cable. SII 2015: 326-331 - 2014
- [j6]Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani:
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism. Adv. Robotics 28(17): 1189-1203 (2014) - [j5]Kuniaki Noda, Hiroaki Arie, Yuki Suga, Tetsuya Ogata:
Multimodal integration learning of robot behavior using deep neural networks. Robotics Auton. Syst. 62(6): 721-736 (2014) - [c16]Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. ICANN 2014: 9-16 - [c15]Kuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Shingo Murata, Hiroaki Arie, Shigeki Sugano:
Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation. ICANN 2014: 363-370 - [c14]Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others. ICDL-EPIROB 2014: 242-248 - 2013
- [j4]Shingo Murata, Jun Namikawa, Hiroaki Arie, Shigeki Sugano, Jun Tani:
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring. IEEE Trans. Auton. Ment. Dev. 5(4): 298-310 (2013) - [c13]Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano:
Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism. ICDL-EPIROB 2013: 1-6 - [c12]Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano:
Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance. ICONIP (1) 2013: 537-544 - [c11]Kuniaki Noda, Hiroaki Arie, Yuki Suga, Tetsuya Ogata:
Multimodal integration learning of object manipulation behaviors using deep neural networks. IROS 2013: 1728-1733 - [c10]Kohei Kojima, Takashi Sato, Alexander Schmitz, Hiroaki Arie, Hiroyasu Iwata, Shigeki Sugano:
Sensor prediction and grasp stability evaluation for in-hand manipulation. IROS 2013: 2479-2484 - [c9]Kuniaki Noda, Hiroaki Arie, Yuki Suga, Tetsuya Ogata:
Intersensory Causality Modeling Using Deep Neural Networks. SMC 2013: 1995-2000 - 2012
- [j3]Hiroaki Arie, Takafumi Arakaki, Shigeki Sugano, Jun Tani:
Imitating others by composition of primitive actions: A neuro-dynamic model. Robotics Auton. Syst. 60(5): 729-741 (2012) - 2011
- [j2]Wataru Hinoshita, Hiroaki Arie, Jun Tani, Hiroshi G. Okuno, Tetsuya Ogata:
Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network. Neural Networks 24(4): 311-320 (2011) - [c8]Hiromitsu Awano, Shun Nishide, Hiroaki Arie, Jun Tani, Toru Takahashi, Hiroshi G. Okuno, Tetsuya Ogata:
Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks. ICONIP (3) 2011: 323-331 - [c7]Sungmoon Jeong, Yunjung Park, Hiroaki Arie, Jun Tani, Minho Lee:
Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task. ICONIP (1) 2011: 501-508 - [c6]Yoshihiro Sakamoto, Hiroaki Arie, Takuji Ebinuma, Kenjiro Fujii, Shigeki Sugano:
High-accuracy IMES localization using a movable receiver antenna and a three-axis attitude sensor. IPIN 2011: 1-6 - 2010
- [c5]Hiroaki Arie, Tetsuro Endo, Sungmoon Jeong, Minho Lee, Shigeki Sugano, Jun Tani:
Integrative Learning between Language and Action: A Neuro-Robotics Experiment. ICANN (2) 2010: 256-265 - [c4]Sungmoon Jeong, Minho Lee, Hiroaki Arie, Jun Tani:
Developmental learning of integrating visual attention shifts and bimanual object grasping and manipulation tasks. ICDL 2010: 165-170 - [c3]Wataru Hinoshita, Hiroaki Arie, Jun Tani, Tetsuya Ogata, Hiroshi G. Okuno:
Recognition and Generation of Sentences through Self-organizing Linguistic Hierarchy Using MTRNN. IEA/AIE (3) 2010: 42-51
2000 – 2009
- 2007
- [j1]Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Reinforcement learning of a continuous motor sequence with hidden states. Adv. Robotics 21(10): 1215-1229 (2007) - 2006
- [c2]Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Reinforcement Learning Algorithm with CTRNN in Continuous Action Space. ICONIP (1) 2006: 387-396 - 2004
- [c1]Yuki Suga, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano:
Constructivist approach to human-robot emotional communication - design of evolutionary function for WAMOEBA-3. Humanoids 2004: 869-884
Coauthor Index
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