Murata Shingo

ムラタシンゴ | Murata Shingo

Affiliation and department：
Job title： Associate Professor

Research field (2)： Intelligent robotics , Soft computing

Research keywords (5)： Computational Psychiatry , Deep Learning , Recurrent Neural Network , Neural Network , Cognitive Robotics

Research theme for competitive and other funds (5)：

2022 - 2026 Real-World Robot Learning Based on Free-Energy Principle and Play Data
2021 - 2025 Understanding hierarchical statistical learning of sequential perception with dynamic multiple timescale models
2020 - 2025 Computational nosology based on artificial intelligence and dimensional approach for psychiatric disorders
2019 - 2022 Synthetic Robotics Approaches for Understanding the Formation and Deformation of Cooperation between Agents Based on Predictive Coding
2017 - 2020 Integrative understanding of various symptoms of psychiatric disorders by constructive approach using robots

Papers (47)：

Kaito Kusumoto, Shingo Murata. Toward Understanding Psychiatric and Cognitive Characteristics: A Deep Generative Model for Extracting Shared and Private Representations and Its Evaluation with Synthetic Multimodal Data. 2023 IEEE International Conference on Development and Learning (ICDL). 2023
Keigo Ishii, Shun Hiramatsu, Yuta Nomura, Shingo Murata. Goal-Conditioned Flexible Object Manipulation by Self-Supervised Learning from Play. 2023 IEEE International Conference on Development and Learning (ICDL). 2023
Kentaro Fujii, Shingo Murata. Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks. 2023 IEEE International Conference on Development and Learning (ICDL). 2023
Yuta Nomura, Shingo Murata. Real-World Robot Control and Data Augmentation by World-Model Learning from Play. 2023 IEEE International Conference on Development and Learning (ICDL). 2023
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, et al. World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. Advanced Robotics. 2023. 37. 13. 780-806

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MISC (5)：

Suzuki Kanata, Takahashi Kuniyuki, Hadi Tjandra, Murata Shingo, Sugano Shigeki, Ogata Tetsuya. 2P1-S06 Exploration of Body Dynamics Utilizing Variance Prediction of Recurrent Neural Network. 2015. 2015. "2P1-S06(1)"-"2P1-S06(2)"
MURATA Shingo, YAMASHITA Yuichi, ARIE Hiroaki, OGATA Tetsuya, TANI Jun, SUGANO Shigeki. 3P2-Q03 Selection of Proactive and Reactive Behavior by Distinct Neural Mechanisms(Neurorobotics & Cognitive Robotics). 2014. 2014. "3P2-Q03(1)"-"3P2-Q03(2)"
Takahashi Kuniyuki, Ogata Tetsuya, Tjandra Hadi, Noda Kuniaki, Murata Shingo, Arie Hiroaki, Sugano Shigeki. 3P2-P02 Tool-body Assimilation Model based on Body Babbling and a Neuro-dynamical System for Acquiring Representaion of Tool Function(Neurorobotics & Cognitive Robotics). 2014. 2014. "3P2-P02(1)"-"3P2-P02(2)"
HadiTjandra, 高橋城志, 村田真悟, 有江浩明, 山口雄紀, 尾形哲也, 菅野重樹. 神経力学モデルと身体バブリングに基づく道具身体化と動作生成. 第76回全国大会講演論文集. 2014. 2014. 1. 399-400
村田真悟, 有江浩明, 尾形哲也, 谷淳, 菅野重樹. S-CTRNNを用いた複数時系列パターンの記憶学習. 第76回全国大会講演論文集. 2014. 2014. 1. 11-12

Books (1)：

Lectures and oral presentations (9)：

Action Modification Based on Real-time Amortized Inference of Others’ Intentions Using Backward RNN
(The 54th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS '22) 2022)
Analysis of Imitative Interactions between Typically Developed or Autistic Participants and a Robot with a Recurrent Neural Network
(The Ninth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2019) 2019)
Altered Sense of Self Induced by Functional Disconnection in a Hierarchical Neural Network: A Neuro-Robotics Study
(International Consortium on Hallucination Research and Related Symptoms Kyoto Satellite Meeting (ICHR 2018 KYOTO) 2018)
Altered Behavioral Flexibility and Generalization Induced by Reduced Heterogeneity of Intrinsic Neuronal Excitability: A Neurorobotics Study
(WPA XVII World Congress of Psychiatry 2017)
Representation Learning of Logical Words via Seq2seq Learning from Linguistic Instructions to Robot Actions
(Workshop on Representation Learning for Human and Robot Cognition, The 5th International Conference on Human-Agent Interaction (HAI 2017) 2017)

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Education (3)：

2013 - 2016 Waseda University Graduate School of Creative Science and Engineering Department of Modern Mechanical Engineering
2011 - 2013 Waseda University Graduate School of Creative Science and Engineering Department of Modern Mechanical Engineering
2007 - 2011 Waseda University School of Creative Science and Engineering Department of Modern Mechanical Engineering

Professional career (1)：

Work history (5)：

2024/04 - 現在 Keio University Faculty of Science and Technology Department of Electronics and Electrical Engineering Associate Professor
2020/04 - 2024/03 Keio University Faculty of Science and Technology Department of Electronics and Electrical Engineering Assistant Professor
2018/04 - 2020/03 National Institute of Informatics Principles of Informatics Research Division Assistant Professor
2018/04 - 2020/03 The Graduate University for Advanced Studies Department of Informatics, School of Multidisciplinary Science Assistant Professor
2016/04 - 2018/03 Waseda University Department of Modern Mechanical Engineering, School of Creative Science and Engineering Research Associate

Committee career (10)：

2021/11 - 現在 IEEE Transactions on Cognitive and Developmental Systems Associate Editor
2019/06 - 現在 JSAI Editorial Committee Member
2022 - IEEE ICDL 2022 Associate Editor
2021 - IEEE/RSJ IROS 2021 Associate Editor
2021 - IEEE ICDL 2021 Associate Editor

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Awards (3)：

2020/07 - JSAI Annual Conference Award, The Japanese Society for Artificial Intelligence (JSAI 2020)
2016/09 - The 25th International Conference on Artificial Neural Networks (ICANN 2016) Best Paper Award
2014/03 - Information Processing Society of Japan Best Paper Award for Young Researcher of IPSJ National Convention

Association Membership(s) (3)：

THE ROBOTICS SOCIETY OF JAPAN , THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE , IEEE

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