Shingo Murata, Ph.D.

Research Associate
(2016 – present),
Department of Modern Mechanical Engineering,
School of Creative Science and Engineering,
Waseda University, Tokyo, Japan


Email: murata[at]sugano.mech.waseda.ac.jp

Affiliations


Laboratory
Intelligent Machine Lab. (Prof. Shigeki Sugano), Waseda University

Collaborative Laboratories


Lab. for Intelligent Dynamics and Representation (Prof. Tetsuya Ogata), Waseda University
Cognitive Neuro-Robotics Lab. (Prof. Jun Tani), Korea Advanced Institute of Science and Technology (KAIST), Korea


Society

IEEE
The Japanese Society for Artificial Intelligence
The Robotics Society of Japan

Research Interests


Cognitive Neuro-Robotics and Recurrent Neural Networks













Publications


Journal Articles | Peer-Reviewed

  1. Shingo Murata, Yuxi Li, Hiroaki Arie, Tetsuya Ogata, and Shigeki Sugano,
    "Learning to Achieving Different Levels of Adaptability for Human–Robot Collaboration Utilizing a Neuro-dynamical System," Under Revision, 2017. NEW

  2. 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 (IF: 4.291, 2015 JCR), Vol. 28, Issue 4, pp. 830846, 2017 (Published Online, 2015). [PDF]
    DOI: 10.1109/TNNLS.2015.2492140

  3. 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
    (IF: 1.723, 2016 JCR), Vol. 10, Article 5, pp. 1–17, 2016.
    DOI: 10.3389/fnbot.2016.00005



  4. 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
    (IF: 0.562, 2014 JCR), Vol. 28, Issue 17, pp. 1189–1203, 2014. [PDF]
    DOI: 10.1080/01691864.2014.916628


  5. Shingo Murata, Jun Namikawa, Hiroaki Arie, Shigeki Sugano, and 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 (IF: 2.170, 2013 JCR), Vol. 5, Issue 4, pp. 298
    310, 2013. [PDF]
    DOI: 10.1109/TAMD.2013.2258019
International Conference Papers | Peer-Reviewed *Presenter is underlined.

  1. Shingo Murata, Wataru Masuda, Saki Tomioka, Tetsuya Ogata, and Shigeki Sugano,
    "Mixing Actual and Predicted Sensory States based on Uncertainty Estimation for Flexible and Robust Robot Behavior,"
    Under Revision, 2017. NEW

  2. Hayato Idei, Shingo Murata, Yiwen Chen, Yuichi Yamashita, Jun Tani, and Tetsuya Ogata,
    "Reduced Behavioral Flexibility by Aberrant Sensory Precision in Autism Spectrum Disorder: A Neurorobotics Experiment,"
    Submitted, 2017. NEW

  3. 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 Proceedings of the 2016 IEEE/SICE International Symposium on System Integration (SII 2016), Accepted (Acceptance Rate: 78.9%), pp. 343–348, Hokkaido, Japan, December 2016.
    DOI: 10.1109/SII.2016.7844022

  4. 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 Neural Information Processing, Lecture Notes in Computer Science (LNCS), Akira Hirose et al. (Eds.), Vol. 9950, pp. 228235, 2016 (Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), Accepted for Poster Presentation (Acceptance Rate: 68.7%), Kyoto, Japan, October 2016).
    DOI: 10.1007/978-3-319-46681-1_28

  5. 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 International Conference on Intelligent Robots and Systems (IROS 2016), Accepted for Poster Presentation,
    pp. 1–6, Daejeon, Korea, October 2016. [PDF]

  6. 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 Proceedings of the Sixth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2016), Accepted for Oral Presentation (Acceptance Rate for Oral Presentation: 34%), Cergy-Pontoise, France, September 2016. [PDF]
    DOI: 10.1109/DEVLRN.2016.7846838
    Travel Grant from the Hara Research Foundation (Yiwen Chen)

  7. Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata,
    Dynamical Linking of Positive and Negative Sentences to Goal-oriented Robot Behavior by Hierarchical RNN,”
    In Artificial Neural Networks and Machine Learning — ICANN 2016, Lecture Notes in Computer Science (LNCS), Alessandro E.P. Villa et al. (Eds.), Vol. 9886, pp. 339346, 2016 (Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), Accepted for Oral Presentation, Barcelona, Spain, September 2016).
    Best Paper Award
    Travel Grant from the Telecommunications Advancement Foundation
    (Tatsuro Yamada)
    DOI:
    10.1007/978-3-319-44778-0_40


  8. Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata,
    Attractor Representations of Language–behavior Structure in a Recurrent Neural Network for Human–robot Interaction,”
    In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Accepted (Acceptance Rate: 46%), pp. 4179–4184, Hamburg, Germany, September 2015.
    Travel Grant from the Hara Research Foundation (Tatsuro Yamada)
    DOI: 10.1109/IROS.2015.7353968

  9. 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 Proceedings of the Fifth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2015), Accepted for Oral Presentation, pp. 302–307, Providence, USA, August 2015.
    DOI: 10.1109/DEVLRN.2015.7346162

  10. Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata,
    "Acquisition of Viewpoint Representation in Imitative Learning from Own Sensory-Motor Experiences,"
    In Proceedings of the Fifth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2015), Accepted for Oral Presentation, pp. 326–331, Providence, USA, August 2015.
    DOI: 10.1109/DEVLRN.2015.7346166

  11. 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 (Acceptance Rate for Oral Presentation: 28%), pp. 242–248, Genoa, Italy, October 2014.
    DOI: 10.1109/DEVLRN.2014.6982988

  12. 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. 916, 2014 (Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), Accepted for Oral Presentation (Acceptance Rate: 62%), Hamburg, Germany, September 2014).
    Travel Grant from the Hara Research Foundation (Shingo Murata)
    DOI: 10.1007/978-3-319-11179-7_2

  13. 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. 363370, 2014 (Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), Accepted for Oral Presentation (Acceptance Rate: 62%), Hamburg, Germany, September 2014).
    DOI: 10.1007/978-3-319-11179-7_46

  14. Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, and Shigeki Sugano,
    Development of Proactive and Reactive Behavior via Meta-Learning of Prediction Error Variance,”

    In Neural Information Processing, Lecture Notes in Computer Science (LNCS), Minho Lee et al. (Eds.), Vol. 8226, pp. 537544, 2013 (Proceedings of the 20th International Conference on Neural Information Processing (ICONIP 2013), Accepted for Oral Presentation, Deagu, Korea, November 2013).
    DOI: 10.1007/978-3-642-42054-2_67

  15. Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, and Shigeki Sugano,
    Learning to Reproduce Fluctuating Behavioral Sequences Using a Dynamic Neural Network Model with Time-Varying Variance Estimation Mechanism,”

    In Proceedings of the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2013), Accepted for Poster Presentation (Acceptance Rate: 67%), pp. 1–6, Osaka, Japan, August 2013.
    DOI: 10.1109/DevLrn.2013.6652545
International Conference Abstracts | Peer-Reviewed

  1. Hayato Idei, Shingo Murata, Yuichi Yamashita, and Tetsuya Ogata,
    Altered Behavioral Flexibility and Generalization Induced by Reduced Heterogeneity of Intrinsic Neuronal Excitability: A Neurorobotics Study,”
    WPA XVII World Congress of Psychiatry, Accepted for Oral Presentation, Berlin, Germany, October 2017. NEW

  2. Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata,
    Logically Complex Symbol Grounding for Interactive Robots by Seq2seq Learning with an LSTM-RNN,”
    The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS 2016), Accepted for Demonstration (Acceptance Rate for Demonstration: 36.4%), Barcelona, Spain, December 2016.


  3. 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), Accepted for Poster Presentation, Paris, France, July 2015.

  4. Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, and Shigeki Sugano,
    Self-Organization of Distinct Neural Mechanisms for Adaptive Behavior,”
    Neurobiologically Inspired Robotics Workshop: Incorporating Brain Processing into Robots Might for Better Autonomy, T
    he 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China, June 2014.

  5. 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.
Domestic Conference Papers

See Japanese page.

Professional Career


April, 2016 present
Research Associate, Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University

Education


April, 2013 March, 2016
Doctor of Engineering, Department of Modern Mechanical Engineering, Graduate School of Creative Science and Engineering, Waseda University
Advisor: Prof. Shigeki Sugano

Thesis: "Predictive Learning with Uncertainty Estimation for Achieving Adaptive and Flexible Behavior"
April, 2011 March, 2013
Master of Engineering, Department of Modern Mechanical Engineering, Graduate School of Creative Science and Engineering, Waseda University
Advisor: Prof. Shigeki Sugano
Thesis: "A Study on a Neural Network Model for Learning to Reproduce Fluctuating Behavioral Trajectories"
April, 2007 March, 2011
Bachelor of Engineering, Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University
Advisor: Prof. Shigeki Sugano
April, 2004 March, 2007
Waseda University Senior High School

Other Careers


October, 2012 March, 2016
Visiting Student, Cognitive Neuro-Robotics Lab., KAIST, Korea
April, 2011 March, 2016
Teaching Assistant (TA), Waseda University, Japan
April, 2010 May, 2012
Trainee, Lab. for Behavior and Dynamic Cognition, Brain Science Institute, RIKEN, Japan

Awards


September, 2016
Best Paper Award, The 25th International Conference on Artificial Neural Networks (ICANN 2016)
September, 2014
Grant for Researchers Attending International Conferences, The Hara Research Foundation
March, 2014
Best Paper Award for Young Researcher of IPSJ National Convention, Information Processing Society of Japan
March, 2011
Seki Award, Department of Modern Mechanical Engineering, Waseda University

Scholarships


April, 2013 March, 2016
Doctor 21 Scholarship, Yoshida Scholarship Foundation
July, 2012
Azusa Ono Memorial Scholarship, Waseda University
July, 2011
Azusa Ono Memorial Scholarship, Waseda University
July, 2010
Waseda University's 125th Anniversary Scholarships, Waseda University
July, 2009
Waseda University's 125th Anniversary Scholarships, Waseda University

Supervision


Graduate Students

April, 2017 present
Hayato Idei (Ogata Lab., Waseda University)
Wataru Masuda (Sugano Lab., Waseda University)
April, 2016 present
Maasa Takahashi (Ogata Lab., Waseda University)
April, 2015 March, 2017
Saki Tomioka (Sugano Lab., Waseda University)
Ryoichi Nakajo (Ogata Lab., Waseda University)
Naoto Higashi (Ogata Lab., Waseda University)
September, 2014 September, 2016
Yiwen Chen (Sugano Lab., International Program, Waseda University)
Yuxi Li (Sugano Lab., International Program, Waseda University)
April, 2014 March, 2016
Kai Hirano (Ogata Lab., Waseda University)
Tatsuro Yamada (Ogata Lab., Waseda University)

Undergraduate Students

April, 2017 present
Jiayi Chen (Sugano Lab., Waseda University)
Ryoya Munechika (Ogata Lab., Waseda University)
April, 2016 March, 2017
Hayato Idei (Ogata Lab., Waseda University)
Wataru Masuda (Sugano Lab., Waseda University)
April, 2015 March, 2016
Maasa Takahashi (Ogata Lab., Waseda University)
Yao-Yu Zhang (Ogata Lab., Waseda University)
April, 2014 – March, 2015
Saki Tomioka (Sugano Lab., Waseda University)
Ryoichi Nakajo (Ogata Lab., Waseda University)
Naoto Higashi (Ogata Lab., Waseda University)

Reviewer Activities


Journal Article

IEEE Transactions on Neural Networks and Learning Systems

International Conference Papers

ICDL-EpiRob 2016, 2017, Humanoids 2016, AIM 2017