Shingo Murata - RankMe

58 papers A* 2A 1B 4C 2Journal 24Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Deep Active Inference in Physical Human-Robot Interaction: Balancing Exploration and Goal-Directed Behavior. SII Jefimija Borojevic, Gabriel W. Haddon-Hill, Juan Sandoval, Shingo Murata
2026	J	`jnl`	Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model. IEEE Robotics Autom. Lett. Kentaro Fujii, Shingo Murata
2025	J	`jnl`	Active Inference with Dynamic Planning and Information Gain in Continuous Space by Inferring Low-Dimensional Latent States. Entropy Takazumi Matsumoto, Kentaro Fujii, Shingo Murata, Jun Tani
2025	J	`jnl`	Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation. CoRR Riko Yokozawa, Kentaro Fujii, Yuta Nomura, Shingo Murata
2025	J	`jnl`	Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model. CoRR Kentaro Fujii, Shingo Murata
2025	J	`jnl`	System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems. CoRR Tadahiro Taniguchi, Yasushi Hirai, Masahiro Suzuki, Shingo Murata, Takato Horii, Kazutoshi Tanaka
2025	—	`conf`	Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks. ICDL Taisuke Kobayashi, Shingo Murata
2025	J	`jnl`	Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks. CoRR Taisuke Kobayashi, Shingo Murata
2024	—	`conf`	Active Vision for Physical Robots Using the Free Energy Principle. ICANN (10) Gabriel W. Haddon-Hill, Shingo Murata
2024	J	`jnl`	Real-World Robot Control Based on Contrastive Deep Active Inference With Demonstrations. IEEE Access Kentaro Fujii, Takuya Isomura, Shingo Murata
2024	—	`conf`	Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference. IWAI Ko Igari, Kentaro Fujii, Gabriel W. Haddon-Hill, Shingo Murata
2023	B	`conf`	Deep Predictive Network for Inference and Dynamic Optimization of Task Goals during Human-Robot Collaboration. IJCNN Shun Hiramatsu, Shingo Murata
2023	—	`conf`	Goal-Conditioned Flexible Object Manipulation by Self-Supervised Learning from Play. ICDL Keigo Ishii, Shun Hiramatsu, Yuta Nomura, Shingo Murata
2023	—	`conf`	Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks. ICDL Kentaro Fujii, Shingo Murata
2023	—	`conf`	Real-World Robot Control and Data Augmentation by World-Model Learning from Play. ICDL Yuta Nomura, Shingo Murata
2023	J	`jnl`	Special issue on world models and predictive coding in robotics (Part I). Adv. Robotics Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata, Tomoaki Nakamura
2023	J	`jnl`	Special issue on world models and predictive coding in robotics (part II). Adv. Robotics Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata, Tomoaki Nakamura
2023	A*	`conf`	Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation. ICRA Namiko Saito, João Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
2023	—	`conf`	Toward Understanding Psychiatric and Cognitive Characteristics: A Deep Generative Model for Extracting Shared and Private Representations and Its Evaluation with Synthetic Multimodal Data. ICDL Kaito Kusumoto, Shingo Murata
2023	J	`jnl`	World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges. CoRR Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo
2023	J	`jnl`	World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. Adv. Robotics Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo
2022	J	`jnl`	Latent Representation in Human-Robot Interaction With Explicit Consideration of Periodic Dynamics. IEEE Trans. Hum. Mach. Syst. Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura
2021	A*	`conf`	Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. ICCV Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji
2021	J	`jnl`	Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. CoRR Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji
2021	J	`jnl`	Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics. CoRR Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura
2021	J	`jnl`	Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder. Neural Networks Hayato Idei, Shingo Murata, Yuichi Yamashita, Tetsuya Ogata
2021	J	`jnl`	Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks. Frontiers Robotics AI Namiko Saito, Tetsuya Ogata, Hiroki Mori, Shingo Murata, Shigeki Sugano
2019	—	`conf`	Achieving Human-Robot Collaboration with Dynamic Goal Inference by Gradient Descent. ICONIP (2) Shingo Murata, Wataru Masuda, Jiayi Chen, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano
2019	B	`conf`	Large-scale Data Collection for Goal-directed Drawing Task with Self-report Psychiatric Symptom Questionnaires via Crowdsourcing. SMC Shingo Murata, Hikaru Yanagida, Kentaro Katahira, Shinsuke Suzuki, Tetsuya Ogata, Yuichi Yamashita
2019	—	`conf`	Looking Back and Ahead: Adaptation and Planning by Gradient Descent. ICDL-EPIROB Shingo Murata, Hiroki Sawa, Shigeki Sugano, Tetsuya Ogata
2018	J	`jnl`	Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks. Frontiers Neurorobotics Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2018	—	`conf`	Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. ICDL-EPIROB Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
2018	J	`jnl`	Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. CoRR Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
2018	—	`conf`	Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images. ICDL-EPIROB Yuheng Wu, Kuniyuki Takahashi, Hiroki Yamada, Kitae Kim, Shingo Murata, Shigeki Sugano, Tetsuya Ogata
2018	—	`conf`	Estimating Driver Workload with Systematically Varying Traffic Complexity Using Machine Learning: Experimental Design. IHSI Udara E. Manawadu, Takahiro Kawano, Shingo Murata, Mitsuhiro Kamezaki, Shigeki Sugano
2018	J	`jnl`	Learning to Achieve Different Levels of Adaptability for Human-Robot Collaboration Utilizing a Neuro-Dynamical System. IEEE Trans. Cogn. Dev. Syst. Shingo Murata, Yuxi Li, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano
2018	B	`conf`	Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network. Intelligent Vehicles Symposium Udara E. Manawadu, Takahiro Kawano, Shingo Murata, Mitsuhiro Kamezaki, Junya Muramatsu, Shigeki Sugano
2018	—	`conf`	Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning. Humanoids Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
2017	J	`jnl`	Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. IEEE Trans. Neural Networks Learn. Syst. Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani
2017	—	`conf`	Mixing Actual and Predicted Sensory States Based on Uncertainty Estimation for Flexible and Robust Robot Behavior. ICANN (1) Shingo Murata, Wataru Masuda, Saki Tomioka, Tetsuya Ogata, Shigeki Sugano
2017	—	`conf`	Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment. ICDL-EPIROB Hayato Idei, Shingo Murata, Yiwen Chen, Yuichi Yamashita, Jun Tani, Tetsuya Ogata
2017	J	`jnl`	Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions. Frontiers Neurorobotics Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2016	—	`conf`	Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. SII Shingo Murata, Kai Hirano, Hiroaki Arie, Shigeki Sugano, Tetsuya Ogata
2016	J	`jnl`	Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction. Frontiers Neurorobotics Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2016	—	`conf`	Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN. ICANN (1) Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2016	—	`conf`	Emergence of interactive behaviors between two robots by prediction error minimization mechanism. ICDL-EPIROB Yiwen Chen, Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
2016	—	`conf`	Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty. ICONIP (4) Ryoichi Nakajo, Maasa Takahashi, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2015	—	`conf`	Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. ICDL-EPIROB Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2015	A	`conf`	Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction. IROS Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2015	—	`conf`	Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment. ICDL-EPIROB Shingo Murata, Saki Tomioka, Ryoichi Nakajo, Tatsuro Yamada, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano
2014	—	`conf`	Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others. ICDL-EPIROB Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
2014	C	`conf`	Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. ICANN Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
2014	J	`jnl`	Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism. Adv. Robotics Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani
2014	C	`conf`	Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation. ICANN Kuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Shingo Murata, Hiroaki Arie, Shigeki Sugano
2013	—	`conf`	Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance. ICONIP (1) Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano
2013	J	`jnl`	Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring. IEEE Trans. Auton. Ment. Dev. Shingo Murata, Jun Namikawa, Hiroaki Arie, Shigeki Sugano, Jun Tani
2013	—	`conf`	Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism. ICDL-EPIROB Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano
2006	B	`conf`	Consultative-sales support of fashion garments by scenario creation. SMC Shingo Murata