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2020 – today
- 2023
[i4]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 abs/2301.05832 (2023)- 2022
- [j10]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): 928-940 (2022) - 2021
- [j9]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: 748716 (2021) - [j8]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: 150-163 (2021) - [c24]Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji:
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. ICCV 2021: 11936-11945 - [i3]Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji:
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. CoRR abs/2104.13316 (2021) - [i2]Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura:
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics. CoRR abs/2106.08531 (2021)
2010 – 2019
- 2019
- [c23]Shingo Murata, Hiroki Sawa, Shigeki Sugano, Tetsuya Ogata:
Looking Back and Ahead: Adaptation and Planning by Gradient Descent. ICDL-EPIROB 2019: 151-156 - [c22]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: 579-590 - [c21]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: 3859-3865 - 2018
- [j7]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: 46 (2018) - [j6]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): 712-725 (2018) - [c20]Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano:
Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning. Humanoids 2018: 270-276 - [c19]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: 1-6 - [c18]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: 169-174 - [c17]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: 106-111 - [c16]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: 1-6 - [i1]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 abs/1809.08613 (2018) - 2017
- [j5]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: 70 (2017) - [j4]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): 830-848 (2017) - [c15]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: 11-18 - [c14]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: 271-276 - 2016
- [j3]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: 5 (2016) - [c13]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: 339-346 - [c12]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: 302-307 - [c11]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: 228-235 - [c10]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: 343-348 - 2015
- [c9]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: 302-307 - [c8]Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. ICDL-EPIROB 2015: 326-331 - [c7]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: 4179-4184 - 2014
- [j2]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): 1189-1203 (2014) - [c6]Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. ICANN 2014: 9-16 - [c5]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: 363-370 - [c4]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: 242-248 - 2013
- [j1]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): 298-310 (2013) - [c3]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: 1-6 - [c2]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: 537-544
2000 – 2009
- 2006
- [c1]Shingo Murata:
Consultative-sales support of fashion garments by scenario creation. SMC 2006: 2137-2141
Coauthor Index
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last updated on 2023-01-20 21:35 CET by the dblp team
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