Shingo Murata
Orcid: 0000-0002-0790-1915
According to our database1,
Shingo Murata
authored at least 43 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Adv. Robotics, October, 2023
Adv. Robotics, July, 2023
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges.
Adv. Robotics, July, 2023
Deep Predictive Network for Inference and Dynamic Optimization of Task Goals during Human-Robot Collaboration.
Proceedings of the International Joint Conference on Neural Networks, 2023
Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Development and Learning, 2023
Toward Understanding Psychiatric and Cognitive Characteristics: A Deep Generative Model for Extracting Shared and Private Representations and Its Evaluation with Synthetic Multimodal Data.
Proceedings of the IEEE International Conference on Development and Learning, 2023
Proceedings of the IEEE International Conference on Development and Learning, 2023
Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks.
Proceedings of the IEEE International Conference on Development and Learning, 2023
2022
Latent Representation in Human-Robot Interaction With Explicit Consideration of Periodic Dynamics.
IEEE Trans. Hum. Mach. Syst., 2022
2021
Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder.
Neural Networks, 2021
Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks.
Frontiers Robotics AI, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2019
Large-scale Data Collection for Goal-directed Drawing Task with Self-report Psychiatric Symptom Questionnaires via Crowdsourcing.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019
2018
Learning to Achieve Different Levels of Adaptability for Human-Robot Collaboration Utilizing a Neuro-Dynamical System.
IEEE Trans. Cogn. Dev. Syst., 2018
Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks.
Frontiers Neurorobotics, 2018
Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Estimating Driver Workload with Systematically Varying Traffic Complexity Using Machine Learning: Experimental Design.
Proceedings of the Intelligent Human Systems Integration, 2018
Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018
2017
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment.
IEEE Trans. Neural Networks Learn. Syst., 2017
Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions.
Frontiers Neurorobotics, 2017
Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
Mixing Actual and Predicted Sensory States Based on Uncertainty Estimation for Flexible and Robust Robot Behavior.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction.
Frontiers Neurorobotics, 2016
Analysis of imitative interactions between humans and a robot with a neuro-dynamical system.
Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016
Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Emergence of interactive behaviors between two robots by prediction error minimization mechanism.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2015
Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
2014
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism.
Adv. Robotics, 2014
Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
2013
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring.
IEEE Trans. Auton. Ment. Dev., 2013
Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
2006
Proceedings of the IEEE International Conference on Systems, 2006