村田 真悟

研究成果

年別の研究成果 2013 2020

• 158 被引用数
• 6 h-index
• 22 Conference contribution
• 9 Article

年別の研究成果

年別の研究成果

検索結果

• 2020

  Homogeneous Intrinsic Neuronal Excitability Induces Overfitting to Sensory Noise: A Robot Model of Neurodevelopmental Disorder

  Idei, H., Murata, S., Yamashita, Y. & Ogata, T., 2020 8 12, In: Frontiers in Psychiatry. 11, 762.

  研究成果: Article › 査読

  Open Access

  • Neurodevelopmental Disorders
  • Noise
  • Learning
  • Psychiatry
  • Generalization (Psychology)
  2 被引用数 (Scopus)
• 2018

  Acquisition of viewpoint transformation and action mappings via sequence to sequence imitative learning by deep neural networks

  Nakajo, R., Murata, S., Arie, H. & Ogata, T., 2018, In: Frontiers in Neurorobotics. 12, 46.

  研究成果: Article › 査読

  Open Access

  • Deep neural networks
  • Robots
  • Recurrent neural networks
  • Robotics
  • Cameras
  1 被引用数 (Scopus)

• Detecting features of tools, objects, and actions from effects in a robot using deep learning

  Saito, N., Kim, K., Murata, S., Ogata, T. & Sugano, S., 2018 9 23, In: Unknown Journal.

  研究成果: Article › 査読

  • Deep Learning
  • Robot
  • robot
  • Learning
  • Object

• Learning to Achieve Different Levels of Adaptability for Human-Robot Collaboration Utilizing a Neuro-Dynamical System

  Murata, S., Li, Y., Arie, H., Ogata, T. & Sugano, S., 2018 9, In: IEEE Transactions on Cognitive and Developmental Systems. 10, 3, p. 712-725 14 p., 8268071.

  研究成果: Article › 査読

  • Dynamical systems
  • Robots
  • Intelligent robots
  • Recurrent neural networks
  5 被引用数 (Scopus)
• 2017

  Learning to Perceive the World as Probabilistic or Deterministic via Interaction with Others: A Neuro-Robotics Experiment

  Murata, S., Yamashita, Y., Arie, H., Ogata, T., Sugano, S. & Tani, J., 2017 4, In: IEEE Transactions on Neural Networks and Learning Systems. 28, 4, p. 830-848 19 p.

  研究成果: Article › 査読

  • Robotics
  • Recurrent neural networks
  • Robots
  • Uncertainty
  • Stochastic models
  18 被引用数 (Scopus)

• Representation learning of logic words by an RNN: From word sequences to robot actions

  Yamada, T., Murata, S., Arie, H. & Ogata, T., 2017, In: Frontiers in Neurorobotics. 11, 70.

  研究成果: Article › 査読

  Open Access

  • Robots
  • Long short-term memory
  • Intelligent agents
  • Recurrent neural networks
  • Electric grounding
  7 被引用数 (Scopus)
• 2016

  Dynamical integration of language and behavior in a recurrent neural network for Human-Robot interaction

  Yamada, T., Murata, S., Arie, H. & Ogata, T., 2016, In: Frontiers in Neurorobotics. 10, JUL, 00005.

  研究成果: Article › 査読

  Open Access

  • Human robot interaction
  • Recurrent neural networks
  • Robots
  • Linguistics
  • Switches
  19 被引用数 (Scopus)
• 2014

  Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism

  Murata, S., Arie, H., Ogata, T., Sugano, S. & Tani, J., 2014 9 2, In: Advanced Robotics. 28, 17, p. 1189-1203 15 p.

  研究成果: Article › 査読

  • Robots
  • Neural networks
  • Experiments
  6 被引用数 (Scopus)
• 2013

  Learning to reproduce fluctuating time series by inferring their time-dependent stochastic properties: Application in Robot learning via tutoring

  Murata, S., Namikawa, J., Arie, H., Sugano, S. & Tani, J., 2013 12 1, In: IEEE Transactions on Autonomous Mental Development. 5, 4, p. 298-310 13 p., 6502665.

  研究成果: Article › 査読

  • Robot learning
  • Time series
  • Maximum likelihood estimation
  • Trajectories
  • Robots
  39 被引用数 (Scopus)