Rchr
J-GLOBAL ID:201601006976915650   Update date: Sep. 02, 2024

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  (6):
  • 2024 - 2027 ロボットのための自由エネルギー原理に基づくインタラクション基盤技術
  • 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
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Papers (49):
  • 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
more...
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):
  • Cognitive Robotics
    The MIT Press 2022
Lectures and oral presentations  (13):
  • Deep Active Inference with Reconstructive and Contrastive Learning
    (The 5th International Workshop on Active Inference 2024)
  • Real-World Robot Control Based on Contrastive Active Inference with Learning from Demonstration
    (The 4th International Workshop on Active Inference 2023)
  • Multiple Timescale Recurrent State-Space Model for Learning Long-Horizon Tasks
    (International Symposium on Predictive Brain and Cognitive Feelings 2023)
  • A Deep Generative Model for Extracting Shared and Private Latent Representations from Multimodal Data
    (International Symposium on Predictive Brain and Cognitive Feelings, 2023)
  • 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)
more...
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):
  • Ph.D. (Waseda University)
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 (11):
  • 2024 - 現在 Special Section on "Cognitive Development and Symbol Emergence" in Advanced Robotics
  • 2021 - 現在 IEEE Transactions on Cognitive and Developmental Systems Associate Editor
  • 2019 - 2023 JSAI Editorial Committee Member
  • 2022 - IEEE ICDL 2022 Associate Editor
  • 2021 - IEEE/RSJ IROS 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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