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Shingo Murata
ORCID
Publication Activity (10 Years)
Years Active: 2006-2023
Publications (10 Years): 39
Top Topics
World Model
Neural Network
Cognitive Development
Error Minimization
Top Venues
ICDL-EPIROB
CoRR
Adv. Robotics
ICDL
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Publications
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Shun Hiramatsu
,
Shingo Murata
Deep Predictive Network for Inference and Dynamic Optimization of Task Goals during Human-Robot Collaboration.
IJCNN
(2023)
Keigo Ishii
,
Shun Hiramatsu
,
Yuta Nomura
,
Shingo Murata
Goal-Conditioned Flexible Object Manipulation by Self-Supervised Learning from Play.
ICDL
(2023)
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.
ICDL
(2023)
Tadahiro Taniguchi
,
Shingo Murata
,
Masahiro Suzuki
,
Dimitri Ognibene
,
Pablo Lanillos
,
Emre Ugur
,
Lorenzo Jamone
,
Tomoaki Nakamura
,
Alejandra Ciria
,
Bruno Lara
,
Giovanni Pezzulo
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges.
CoRR
(2023)
Namiko Saito
,
João Moura
,
Tetsuya Ogata
,
Marina Y. Aoyama
,
Shingo Murata
,
Shigeki Sugano
,
Sethu Vijayakumar
Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation.
ICRA
(2023)
Tadahiro Taniguchi
,
Dimitri Ognibene
,
Lorenzo Jamone
,
Emre Ugur
,
Pablo Lanillos
,
Alejandra Ciria
,
Masahiro Suzuki
,
Shingo Murata
,
Yoshihiro Nakata
,
Tomoaki Nakamura
Special issue on world models and predictive coding in robotics (part II).
Adv. Robotics
37 (19) (2023)
Tadahiro Taniguchi
,
Shingo Murata
,
Masahiro Suzuki
,
Dimitri Ognibene
,
Pablo Lanillos
,
Emre Ugur
,
Lorenzo Jamone
,
Tomoaki Nakamura
,
Alejandra Ciria
,
Bruno Lara
,
Giovanni Pezzulo
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges.
Adv. Robotics
37 (13) (2023)
Tadahiro Taniguchi
,
Dimitri Ognibene
,
Lorenzo Jamone
,
Emre Ugur
,
Pablo Lanillos
,
Alejandra Ciria
,
Masahiro Suzuki
,
Shingo Murata
,
Yoshihiro Nakata
,
Tomoaki Nakamura
Special issue on world models and predictive coding in robotics (Part I).
Adv. Robotics
37 (13) (2023)
Kentaro Fujii
,
Shingo Murata
Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks.
ICDL
(2023)
Yuta Nomura
,
Shingo Murata
Real-World Robot Control and Data Augmentation by World-Model Learning from Play.
ICDL
(2023)
Taisuke Kobayashi
,
Shingo Murata
,
Tetsunari Inamura
Latent Representation in Human-Robot Interaction With Explicit Consideration of Periodic Dynamics.
IEEE Trans. Hum. Mach. Syst.
52 (5) (2022)
Hayato Idei
,
Shingo Murata
,
Yuichi Yamashita
,
Tetsuya Ogata
Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder.
Neural Networks
138 (2021)
Taisuke Kobayashi
,
Shingo Murata
,
Tetsunari Inamura
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics.
CoRR
(2021)
Kai-Hung Chang
,
Chin-Yi Cheng
,
Jieliang Luo
,
Shingo Murata
,
Mehdi Nourbakhsh
,
Yoshito Tsuji
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation.
ICCV
(2021)
Kai-Hung Chang
,
Chin-Yi Cheng
,
Jieliang Luo
,
Shingo Murata
,
Mehdi Nourbakhsh
,
Yoshito Tsuji
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation.
CoRR
(2021)
Namiko Saito
,
Tetsuya Ogata
,
Hiroki Mori
,
Shingo Murata
,
Shigeki Sugano
Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks.
Frontiers Robotics AI
8 (2021)
Shingo Murata
,
Hikaru Yanagida
,
Kentaro Katahira
,
Shinsuke Suzuki
,
Tetsuya Ogata
,
Yuichi Yamashita
Large-scale Data Collection for Goal-directed Drawing Task with Self-report Psychiatric Symptom Questionnaires via Crowdsourcing.
SMC
(2019)
Shingo Murata
,
Wataru Masuda
,
Jiayi Chen
,
Hiroaki Arie
,
Tetsuya Ogata
,
Shigeki Sugano
Achieving Human-Robot Collaboration with Dynamic Goal Inference by Gradient Descent.
ICONIP (2)
(2019)
Shingo Murata
,
Hiroki Sawa
,
Shigeki Sugano
,
Tetsuya Ogata
Looking Back and Ahead: Adaptation and Planning by Gradient Descent.
ICDL-EPIROB
(2019)
Udara E. Manawadu
,
Takahiro Kawano
,
Shingo Murata
,
Mitsuhiro Kamezaki
,
Shigeki Sugano
Estimating Driver Workload with Systematically Varying Traffic Complexity Using Machine Learning: Experimental Design.
IHSI
(2018)
Yuheng Wu
,
Kuniyuki Takahashi
,
Hiroki Yamada
,
Kitae Kim
,
Shingo Murata
,
Shigeki Sugano
,
Tetsuya Ogata
Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images.
ICDL-EPIROB
(2018)
Udara E. Manawadu
,
Takahiro Kawano
,
Shingo Murata
,
Mitsuhiro Kamezaki
,
Junya Muramatsu
,
Shigeki Sugano
Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network.
Intelligent Vehicles Symposium
(2018)
Namiko Saito
,
Kitae Kim
,
Shingo Murata
,
Tetsuya Ogata
,
Shigeki Sugano
Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning.
Humanoids
(2018)
Ryoichi Nakajo
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks.
Frontiers Neurorobotics
12 (2018)
Namiko Saito
,
Kitae Kim
,
Shingo Murata
,
Tetsuya Ogata
,
Shigeki Sugano
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning.
ICDL-EPIROB
(2018)
Shingo Murata
,
Yuxi Li
,
Hiroaki Arie
,
Tetsuya Ogata
,
Shigeki Sugano
Learning to Achieve Different Levels of Adaptability for Human-Robot Collaboration Utilizing a Neuro-Dynamical System.
IEEE Trans. Cogn. Dev. Syst.
10 (3) (2018)
Namiko Saito
,
Kitae Kim
,
Shingo Murata
,
Tetsuya Ogata
,
Shigeki Sugano
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning.
CoRR
(2018)
Shingo Murata
,
Wataru Masuda
,
Saki Tomioka
,
Tetsuya Ogata
,
Shigeki Sugano
Mixing Actual and Predicted Sensory States Based on Uncertainty Estimation for Flexible and Robust Robot Behavior.
ICANN (1)
(2017)
Shingo Murata
,
Yuichi Yamashita
,
Hiroaki Arie
,
Tetsuya Ogata
,
Shigeki Sugano
,
Jun Tani
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment.
IEEE Trans. Neural Networks Learn. Syst.
28 (4) (2017)
Tatsuro Yamada
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions.
Frontiers Neurorobotics
11 (2017)
Hayato Idei
,
Shingo Murata
,
Yiwen Chen
,
Yuichi Yamashita
,
Jun Tani
,
Tetsuya Ogata
Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment.
ICDL-EPIROB
(2017)
Ryoichi Nakajo
,
Maasa Takahashi
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty.
ICONIP (4)
(2016)
Tatsuro Yamada
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN.
ICANN (1)
(2016)
Shingo Murata
,
Kai Hirano
,
Hiroaki Arie
,
Shigeki Sugano
,
Tetsuya Ogata
Analysis of imitative interactions between humans and a robot with a neuro-dynamical system.
SII
(2016)
Yiwen Chen
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
,
Jun Tani
,
Shigeki Sugano
Emergence of interactive behaviors between two robots by prediction error minimization mechanism.
ICDL-EPIROB
(2016)
Tatsuro Yamada
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction.
Frontiers Neurorobotics
10 (2016)
Tatsuro Yamada
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction.
IROS
(2015)
Shingo Murata
,
Saki Tomioka
,
Ryoichi Nakajo
,
Tatsuro Yamada
,
Hiroaki Arie
,
Tetsuya Ogata
,
Shigeki Sugano
Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment.
ICDL-EPIROB
(2015)
Ryoichi Nakajo
,
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences.
ICDL-EPIROB
(2015)
Kuniyuki Takahashi
,
Tetsuya Ogata
,
Hadi Tjandra
,
Shingo Murata
,
Hiroaki Arie
,
Shigeki Sugano
Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation.
ICANN
(2014)
Shingo Murata
,
Yuichi Yamashita
,
Hiroaki Arie
,
Tetsuya Ogata
,
Jun Tani
,
Shigeki Sugano
Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others.
ICDL-EPIROB
(2014)
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
,
Shigeki Sugano
,
Jun Tani
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism.
Adv. Robotics
28 (17) (2014)
Shingo Murata
,
Hiroaki Arie
,
Tetsuya Ogata
,
Jun Tani
,
Shigeki Sugano
Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN.
ICANN
(2014)
Shingo Murata
,
Jun Namikawa
,
Hiroaki Arie
,
Jun Tani
,
Shigeki Sugano
Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance.
ICONIP (1)
(2013)
Shingo Murata
,
Jun Namikawa
,
Hiroaki Arie
,
Shigeki Sugano
,
Jun Tani
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring.
IEEE Trans. Auton. Ment. Dev.
5 (4) (2013)
Shingo Murata
,
Jun Namikawa
,
Hiroaki Arie
,
Jun Tani
,
Shigeki Sugano
Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism.
ICDL-EPIROB
(2013)
Shingo Murata
Consultative-sales support of fashion garments by scenario creation.
SMC
(2006)