Career

  • 2013-present, Assistant Professor, Department of Intermedia Art and Science, School of Fundamental Science and Engineering, Waseda University, Japan
  • 2012-2013, Junior Researcher(Assistant Professor), Faculty of Science and Engineering, Waseda University, Japan
  • 2011-2012, Research Scientist, Laboratory for Behavior and Dynamic Cognition, Brain Science Institute, RIKEN, Japan
  • 2008-2011, Research Associate, Laboratory for Behavior and Dynamic Cognition, Brain Science Institute, RIKEN, Japan
  • 2005-2008, Visiting Research Associate (C.O.E. project), Waseda university, Japan

Publications

Journal Papers | Peer-Reviewed

  • Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human–Robot Interaction,” Frontiers in Neurorobotics, Vol. 10, Article 5, pp. 1-17, 2016, DOI: 10.3389/fnbot.2016.00005.
  • Kenjiro FUJII, Hiroaki ARIE, Wei WANG, Yuto KANEKO, Yoshihiro SAKAMOTO, Alexander SCHMITZ, and Shigeki SUGANO, “Improving IMES Localization Accuracy by Integrating Dead Reckoning Information,” Sensors, Vol. 16, Issue 2, 2016, DOI: 10.3390/s16020163.
  • Shingo MURATA, Yuichi YAMASHITA, Hiroaki ARIE, Tetsuya OGATA, Shigeki SUGANO, and Jun TANI, “Learning to Perceive the World as Probabilistic or Deterministic via Interaction with Others: A Neuro-Robotics Experiment,” IEEE Transactions on Neural Networks and Learning Systems, Published Online, 2015, DOI: 10.1109/TNNLS.2015.2492140.
  • Kenjirou FUJII, Yoshihiro SAKAMOTO, Wei WANG, Hiroaki ARIE, Alexander SCHMITZ, and Shigeki SUGANO, “Hyperbolic Positioning with Antenna Arrays and Multi-Channel Pseudolite for Indoor Localization,” Sensors, Vol. 15, Issue 10, 2015, DOI: 10.3390/s151025157.
  • Kuniaki NODA, Hiroaki ARIE, Yuki SUGA, and Tetsuya OGATA, “Multimodal Integration Learning of Robot Behavior using Deep Neural Networks,” Robotics and Autonomous Systems, Vol. 62, Issue 6, Jun. 2014, DOI: 10.1016/j.robot.2014.03.003.
  • Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, and Jun Tani, “Learning to Generate Proactive and Reactive Behavior Using a Dynamic Neural Network Model with Time-Varying Variance Prediction Mechanism,” Advanced Robotics, Vol. 28, Issue 17, pp. 1189-1203, 2014, DOI: 10.1080/01691864.2014.916628.
  • 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 Transactions on Autonomous Mental Development, Vol. 5, No. 4, pp. 298-310, 2013, DOI: 10.1109/TAMD.2013.2258019.
  • Hiroaki ARIE, Takafumi ARAKAKI, Shigeki SUGANO, Jun TANI, “Imitating others by composition of primitive actions; a neuro-dynamic model,” Journal of Robotics and Autonomous Systems, Vol. 60, No. 5, pp. 729-741, 2012, DOI: 10.1016/j.robot.2011.11.005.
  • Sungmoon JEONG, Hiroaki ARIE, Minho LEE, Jun TANI, “Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors,” Cognitive Neurodynamics, Vol. 6, No. 1, pp. 43-59, 2012, DOI: 10.1007/s11571-011-9176-7.
  • 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, Vol. 24, pp. 311-320, 2011, DOI: 10.1016/j.neunet.2010.12.006.
  • Hiroaki ARIE, Tetsuro ENDO, Takafumi ARAKAKI, Shigeki SUGANO, Jun TANI, “Creating novel goal-directed actions at criticality: a neuro-robotic experiment,” New Mathematics and Natural Computation, Vol. 5, No. 1, pp. 307-334, 2009, DOI: 10.1142/S1793005709001283.
  • Hiroaki ARIE, Tetsuya OGATA, Jun TANI, Shigeki SUGANO, “Reinforcement learning of a continuous motor sequence with hidden states,” Advanced Robotics, Vol. 21, No. 10, pp. 1215-1229, 2007, DOI: 10.1163/156855307781389365.

 

International Conference Papers | Peer-Reviewed

  • Shingo Murata, Kai Hirano, Hiroaki Arie, Shigeki Sugano, and Tetsuya Ogata, “Analysis of Imitative Interactions between Humans and a Robot with a Neuro-dynamical System,” In Proc. of the 2016 IEEE/SICE Int. Symposium on System Integration (SII 2016), Hokkaido, Japan, Dec. 2016.
  • Ryoichi Nakajo, Maasa Takahashi, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty,” In Proc. of the 23rd Int. Conf. on Neural Information Processing (ICONIP 2016), Kyoto, Japan, Oct. 2016.
  • Yuxi Li, Shingo Murata, Hiroaki Arie, Tetsuya Ogata, and Shigeki Sugano, “Achieving Different Levels of Adaptability for Human–Robot Collaboration Utilizing a Neuro-Dynamical System,” Workshop on Bio-inspired Social Robot Learning in Home Scenarios, The 2016 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2016), pp. 1–6, Daejeon, Korea, Oct. 2016
  • Yiwen Chen, Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani and Shigeki Sugano, “Emergence of Interactive Behaviors between Two Robots by Prediction Error Minimization Mechanism,” In Proc. of the Sixth Joint IEEE Int. Conf. on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2016), Paris, France, Sept. 2016
  • Tatsuro Yamada, Shingo Murata, Hiroaki Arie and Tetsuya Ogata, “Dynamical Linking of Positive and Negative Sentences to Goal-oriented Robot Behavior by Hierarchical RNN,” The 25th Int. Conf. on Artificial Neural Networks (ICANN 2016), Barcelona, Spain, Sept. 2016.
  • 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,” In Proc. of the 2015 IEEE/SICE International Symposium on System Integration (SII2015), Nagoya, Japan, Dec. 2015.
  • Tatsuro YAMADA, Shingo MURATA, Hiroaki ARIE and Tetsuya OGATA, “Attractor Representations of Language Behavior Structure in a Recurrent Neural Network for Humanrobot Interaction,” In Proc. of the 2015 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS2015), pp. 4179-4184, Hamburg, Germany, Sept. 2015.
  • Shingo MURATA, Saki TOMIOKA, Ryoichi NAKAJO, Tatsuro YAMADA, Hiroaki ARIE, Tetsuya OGATA and Shigeki SUGANO, “Predictive Learning with Uncertainty Estimation for Modeling Infants ’ Cognitive Development with Caregivers: A Neurorobotics Experiment,” In Proc. of the Fifth Joint IEEE Int. Conf. on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2015), pp. 302-307, Providence, USA, Aug. 2015.
  • Ryoichi NAKAJO, Shingo MURATA, Hiroaki ARIE and Tetsuya OGATA, “Acquisition of Viewpoint Representation in Imitative Learning from Own Sensory-Motor Experiences,” In Proc. of the Fifth Joint IEEE Int. Conf. on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2015), pp. 326-331, Providence, USA, Aug. 2015.
  • Kenjiro FUJII, Wei WANG, Yuto KANEKO, Yoshihiro SAKAMOTO, Hiroaki ARIE, and Shigeki SUGANO, “Accurate indoor positioning using IMES radio,” In Proc. of the IEEE International Conference on Mechatronics and Automation (ICMA), pp. 1966 – 1971, Beijing, China, Aug. 2015.
  • Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, and Shigeki Sugano, “Generation of Sensory Reflex Behavior versus Intentional Proactive Behavior in Robot Learning of Cooperative Interactions with Others,” In Proceedings of the Fourth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2014), Accepted for Oral Presentation, Genoa, Italy, October 2014.
  • Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, and Shigeki Sugano, “Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN,” In Artificial Neural Networks and Machine Learning — ICANN 2014, Lecture Notes in Computer Science (LNCS), Stefan Wermter et al. (Eds.), Vol. 8681, pp.9-16, 2014 (Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), Hamburg, Germany, September 2014), DOI: 10.1007/978-3-319-11179-7_46
  • Kuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Shingo Murata, Hiroaki Arie, and Shigeki Sugano, “Tool-body Assimilation Model based on Body Babbling and a Neuro-dynamical System for Motion Generation,” In Artificial Neural Networks and Machine Learning — ICANN 2014, Lecture Notes in Computer Science (LNCS), Stefan Wermter et al. (Eds.), Vol. 8681, pp.363-370, 2014 (Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), Hamburg, Germany, September 2014), DOI: 10.1007/978-3-319-11179-7_46
  • Kuniaki NODA, Hiroaki ARIE, Yuki SUGA, Tetsuya OGATA, “Multimodal Integration Learning of Object Manipulation Behaviors Using Deep Neural Networks,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2013), Tokyo, Japan, November, 2013.
  • Kohei KOJIMA, Takashi SATO, Alexander SCHMITZ, Hiroaki ARIE, Hiroyasu IWATA, Shigeki SUGANO, “Sensor Prediction and Grasp Stability Evaluation for In-Hand Manipulation,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2013), Tokyo, Japan, November, 2013.
  • Shingo MURATA, Jun NAMIKAWA, Hiroaki ARIE, Jun TANI, and Shigeki SUGANO, “Development of Proactive and Reactive Behavior via Meta-Learning of Prediction Error Variance,” The 20th International Conference on Neural Information Processing (ICONIP2013), Accepted for Oral Presentation, Daegu, Korea, November, 2013.
  • Kuniaki NODA, Hiroaki ARIE, Yuki SUGA and Tetsuya OGATA, “Intersensory causality modeling using deep neural networks,” Proceedings in IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), Accepted for Oral Presentation, Manchester, UK., October. 2013.
  • 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,” The Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Osaka, Japan, August, 2013.
  • Yoshihiro SAKAMOTO, Hiroaki ARIE, Takuji EBINUMA, Kenjirou FUJII, Shigeki SUGANO, “Hyperbolic Positioning with Proximate Multi-channel Pseudolite for Indoor Localization,” IGNSS Symposium, Gold Coast, Australia, July, 2013
  • Sungmoon JEONG, Yunjung PARK, Hiroaki ARIE, Jun TANI, Minho LEE, “Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task,” Proceeding of 18th International Conference on Neural Information Processing (ICONIP 2011), Nov. 2011.
  • Hiromitsu AWANO, Shun NISHIDE, Hiroaki ARIE, Jun TANI, Toru TAKAHASHI, Hiroshi G. OKUNO and Tetsuya OGATA, “Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks,” Proceeding of 18th International Conference on Neural Information Processing (ICONIP 2011), Nov. 2011.
  • Yoshihiro SAKAMOTO, Hiroaki ARIE, Takuji EBINUMA, Kenjirou, FUJII, Shigeki SUGANO, “High-Accuracy IMES Localization Using a Movable Receiver Antenna,” Proceeding of the 2011 International Conference on Indoor Positioning and Indoor Navigation, Sep. 2011.
  • Yoshihiro SAKAMOTO, Hiroaki ARIE, Takuji Ebinuma, Kenjiro Fujii, and Shigeki Sugano, “Initial Value Analysis of a Nonlinear Least-Square Method for Indoor Doppler Positioning with a Single Pseudolite,” SICE Annual Conference 2011, Sep. 2011.
  • Yoshihiro SAKAMOTO, Hiroaki ARIE, Takuji EBINUMA, Kenjiro FUJII, Shigeki SUGANO, “Doppler Positioning with a Movable Receiver Antenna and a Single Pseudolite for Indoor Localization,” Proceeding of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 2011.
  • Hiroaki ARIE, Tetsuro ENDO, Sungmoon JEONG, Minho LEE, Shigeki SUGANO, Jun TANI, “Integrative learning between language and action: a neuro-robotics experiment,” Proceeding of 20th International Conference on Artificial Neural Networks (ICANN2010), Sep. 2010.
  • Sungmoon JEONG, Hiroaki ARIE, Jun TANI, Minho LEE, “Developmental Learning of Integrating Visual Attention Shifts and Bimanual Behavior in Object Grasping and Manipulation Tasks,” Proceeding of IEEE 9th International Conference on Development and Learning (ICDL2010), Aug. 2010.
  • Wataru HINOSHITA, Hiroaki ARIE, Jun TANI, Tetsuya OGATA, Hiroshi G OKUNO, “Recognition and generation of sentences through self-organizing linguistic hierarchy using MTRNN,” Lecture Notes in Artificial Intelligence (Proceeding of 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems), Vol. 6098, pp. 42-51, Jun. 2010.
  • Hiroaki ARIE, Tetsuro ENDO, Takafumi ARAKAKI, Shigeki SUGANO, Jun TANI, “A neuro-dynamical model for understanding mechanisms of goal-directed action,” Proceeding of The 3rd International Symposium on Mobiligence, pp. 46-51, Nov. 2009.
  • Hiroaki ARIE, Tetsuro ENDO, Takafumi ARAKAKI, Shigeki SUGANO, Jun TANI, “Creating Novel Goal-Directed Actions Using Chaotic Dynamics,” Proceeding of IEEE 8th International Conference on Development and Learning (ICDL2009), Jun. 2009.
  • Hiroaki ARIE, Shigeki SUGANO, Jun TANI, “Constructive Approach to Understanding the Active Learning Process of Adaptation within a Given Task Environment,” Proceeding of The 2nd International Symposium on Mobiligence, pp. 77-80, 2007.
  • Hiroaki ARIE, Jun NAMIKAWA, Tetsuya OGATA, Jun TANI, Shigeki SUGANO, “Reinforcement Learning Algorithm with CTRNN in Continuous Action Space,” Lecture Notes in Computer Science (Proceeding of 13th International Conference on Neural Information Processing), Vol.4232, pp. 387-396, 2006.
  • Yuki SUGA, Hiroaki ARIE, Tetsuya OGATA and Shigeki SUGANO, “Development of Emotional Communication Robot, WAMEOAB-3,” Proceeding of the 4th International Conference of Advanced Mechatronics (ICAM 04), pp413-418, Oct. 2004.
  • Yuki SUGA, Hiroaki ARIE, Tetsuya OGATA, and Shigeki SUGANO, “Constructivist Approach to Human-Robot Emotional Communication: Design of Evolutionary Function for WAMOEBA-3,” Proceeding of IEEE/RAS International Conference on Humanoid Robots (Humanoids 2004), No.76, Nov. 2004.

 

International Conference Abstracts | Peer-Reviewed

  • Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, and Shigeki Sugano, “Neuro-Dynamical Accounts for Postdiction,” The 19th Annual Meeting of the Association for the Scientific Study of Consciousness (ASSC 19), Paris, France, July 2015.
  • Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, and Shigeki Sugano, “Self-Organization of Distinct Neural Mechanisms for Adaptive Behavior,” The 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), Neurobiologically Inspired Robotics Workshop: Incorporating Brain Processing into Robots Might for Better Autonomy, Hong Kong, China, June 2014.
  • Shingo Murata, Yuichi Yamashita, Tetsuya Ogata, Hiroaki Arie, Jun Tani, and Shigeki Sugano, “Altered Prediction of Uncertainty Induced by Network Disequilibrium: A Neuro-Robotics Study,” Computational Psychiatry 2013, Miami, USA, October 2013.
  • Hiroaki ARIE, Tetsuro ENDO, Takafumi ARAKAKI, Shigeki SUGANO, Jun TANI, “Imaging and generating novel goal-directed behavior utilizing neuro-chaotic dynamics: a humanoid robotics experiment”， The 10th International Conference on the Simulation of Adaptive Behavior, Last Minute Results，Osaka, Tokyo, July 2008.