Tetsuya Ogata

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 158

Top Venues

CoRR

IEEE Robotics Autom. Lett.

SII

IROS

Publications

Satoshi Funabashi, Gang Yan, Fei Hongyi, Alexander Schmitz, Lorenzo Jamone, Tetsuya Ogata, Shigeki Sugano
Tactile Transfer Learning and Object Recognition With a Multifingered Hand Using Morphology Specific Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
André Yuji Yasutomi, Hiroki Mori, Tetsuya Ogata
A Peg-in-hole Task Strategy for Holes in Concrete. CoRR (2024)
Suzuka Harada, Ryoichi Nakajo, Kei Kase, Tetsuya Ogata
Automatic Segmentation of Continuous Time-Series Data Based on Prediction Error Using Deep Predictive Learning. SII (2024)
Tamon Miyake, Namiko Saito, Tetsuya Ogata, Yushi Wang, Shigeki Sugano
Dual-arm Motion Generation for Repositioning Care based on Deep Predictive Learning with Somatosensory Attention Mechanism. CoRR (2024)
Naoki Shirakura, Natsuki Yamanobe, Tsubasa Maruyama, Yukiyasu Domae, Tetsuya Ogata
Work Tempo Instruction Framework for Balancing Human Workload and Productivity in Repetitive Task. HRI (Companion) (2024)
Kenjiro Yamamoto, Hiroshi Ito, Hideyuki Ichiwara, Hiroki Mori, Tetsuya Ogata
Real-Time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes. SII (2024)
Kazuki Hori, Kanata Suzuki, Tetsuya Ogata
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model. SII (2024)
Shardul Kulkarni, Satoshi Funabashi, Alexander Schmitz, Tetsuya Ogata, Shigeki Sugano
Tactile Object Property Recognition Using Geometrical Graph Edge Features and Multi-Thread Graph Convolutional Network. IEEE Robotics Autom. Lett. 9 (4) (2024)
Kanata Suzuki, Tetsuya Ogata
Sensorimotor Attention and Language-based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM. CoRR (2024)
Hiroto Iino, Kei Kase, Ryoichi Nakajo, Naoya Chiba, Hiroki Mori, Tetsuya Ogata
Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States. SII (2024)
Ryutaro Suzuki, Hayato Idei, Yuichi Yamashita, Tetsuya Ogata
Hierarchical Variational Recurrent Neural Network Modeling of Sensory Attenuation with Temporal Delay in Action-Outcome. ICDL (2023)
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Multimodal Time Series Learning of Robots Based on Distributed and Integrated Modalities: Verification with a Simulator and Actual Robots. ICRA (2023)
André Yuji Yasutomi, Hideyuki Ichiwara, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions. CoRR (2023)
Ryo Hanai, Yukiyasu Domae, Ixchel Georgina Ramirez-Alpizar, Bruno Leme, Tetsuya Ogata
Force Map: Learning to Predict Contact Force Distribution from Vision. IROS (2023)
Kazuki Hori, Kanata Suzuki, Tetsuya Ogata
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model. CoRR (2023)
André Yuji Yasutomi, Tetsuya Ogata
Automatic Action Space Curriculum Learning with Dynamic Per-Step Masking. CASE (2023)
Namiko Saito, Mayu Hiramoto, Ayuna Kubo, Kanata Suzuki, Hiroshi Ito, Shigeki Sugano, Tetsuya Ogata
Realtime Motion Generation with Active Perception Using Attention Mechanism for Cooking Robot. 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)
Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada, Kei Kase, Tetsuya Ogata
Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics. CoRR (2023)
André Yuji Yasutomi, Hideyuki Ichiwara, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions. IEEE Robotics Autom. Lett. 8 (3) (2023)
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Modality Attention for Prediction-Based Robot Motion Generation: Improving Interpretability and Robustness of Using Multi-Modality. IEEE Robotics Autom. Lett. 8 (12) (2023)
Takumi Hara, Takashi Sato, Tetsuya Ogata, Hiromitsu Awano
Uncertainty-Aware Haptic Shared Control With Humanoid Robots for Flexible Object Manipulation. IEEE Robotics Autom. Lett. 8 (10) (2023)
Kenjiro Yamamoto, Hiroshi Ito, Hideyuki Ichiwara, Hiroki Mori, Tetsuya Ogata
Real-time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes. CoRR (2023)
Ryo Hanai, Yukiyasu Domae, Ixchel Georgina Ramirez-Alpizar, Bruno Leme, Tetsuya Ogata
Force Map: Learning to Predict Contact Force Distribution from Vision. CoRR (2023)
Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata
Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs. Adv. Robotics 37 (10) (2023)
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
Deep Active Visual Attention for Real-Time Robot Motion Generation: Emergence of Tool-Body Assimilation and Adaptive Tool-Use. IEEE Robotics Autom. Lett. 7 (3) (2022)
Namiko Saito, Takumi Shimizu, Tetsuya Ogata, Shigeki Sugano
Utilization of Image/Force/Tactile Sensor Data for Object-Shape-Oriented Manipulation: Wiping Objects With Turning Back Motions and Occlusion. IEEE Robotics Autom. Lett. 7 (2) (2022)
Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto
Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). Adv. Robotics 36 (1-2) (2022)
Pin-Chu Yang, Satoshi Funabashi, Mohammed Al-Sada, Tetsuya Ogata
Generating Humanoid Robot Motions based on a Procedural Animation IK Rig Method. SII (2022)
Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata
Collision-free Path Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs. CoRR (2022)
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility. ICRA (2022)
Satoshi Funabashi, Tomoki Isobe, Fei Hongyi, Atsumu Hiramoto, Alexander Schmitz, Shigeki Sugano, Tetsuya Ogata
Multi-Fingered In-Hand Manipulation with Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors. CoRR (2022)
Hiroshi Ito, Takumi Kurata, Tetsuya Ogata
Sensory-Motor Learning for Simultaneous Control of Motion and Force: Generating Rubbing Motion against Uneven Object. SII (2022)
Tomoki Ando, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata
Collision-free Path Planning in the Latent Space through cGANs. CoRR (2022)
Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto
Special issue on symbol emergence in robotics and cognitive systems (II). Adv. Robotics 36 (5-6) (2022)
Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control. Sci. Robotics 7 (65) (2022)
Wakana Fujii, Kanata Suzuki, Tomoki Ando, Ai Tateishi, Hiroki Mori, Tetsuya Ogata
Buttoning Task with a Dual-Arm Robot: An Exploratory Study on a Marker-based Algorithmic Method and Marker-less Machine Learning Methods. SII (2022)
Satoshi Funabashi, Tomoki Isobe, Fei Hongyi, Atsumu Hiramoto, Alexander Schmitz, Shigeki Sugano, Tetsuya Ogata
Multi-Fingered In-Hand Manipulation With Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors. IEEE Robotics Autom. Lett. 7 (2) (2022)
Hyogo Hiruma, Hiroki Mori, Tetsuya Ogata
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose Prediction. CoRR (2022)
Minori Toyoda, Kanata Suzuki, Yoshihiko Hayashi, Tetsuya Ogata
Learning Bidirectional Translation Between Descriptions and Actions With Small Paired Data. IEEE Robotics Autom. Lett. 7 (4) (2022)
Minori Toyoda, Kanata Suzuki, Yoshihiko Hayashi, Tetsuya Ogata
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data. CoRR (2022)
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use. CoRR (2022)
Hyogo Hiruma, Hiroki Mori, Hiroshi Ito, Tetsuya Ogata
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Prediction for Robot Pose Prediction. IECON (2022)
André Yuji Yasutomi, Hiroki Mori, Tetsuya Ogata
Curriculum-based Offline Network Training for Improvement of Peg-in-hole Task Performance for Holes in Concrete. SII (2022)
Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae, Tetsuya Ogata
Point Cloud Pre-training with Natural 3D Structures. CVPR (2022)
Hiroshi Ito, Hideyuki Ichiwara, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Integrated Learning of Robot Motion and Sentences: Real-Time Prediction of Grasping Motion and Attention based on Language Instructions. ICRA (2022)
Kei Kase, Chikara Utsumi, Yukiyasu Domae, Tetsuya Ogata
Use of Action Label in Deep Predictive Learning for Robot Manipulation. IROS (2022)
Kei Kase, Ai Tateishi, Tetsuya Ogata
Robot Task Learning With Motor Babbling Using Pseudo Rehearsal. IEEE Robotics Autom. Lett. 7 (3) (2022)
Naoki Shirakura, Ryuichi Takase, Natsuki Yamanobe, Yukiyasu Domae, Tetsuya Ogata
Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration. CASE (2022)
Momomi Kanamura, Kanata Suzuki, Yuki Suga, Tetsuya Ogata
Development of a Basic Educational Kit for Robotic System with Deep Neural Networks. Sensors 21 (11) (2021)
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)
Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata
Embodying Pre-Trained Word Embeddings Through Robot Actions. CoRR (2021)
Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning. IROS (2021)
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation. CoRR (2021)
Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning. CoRR (2021)
Ryoichi Nakajo, Tetsuya Ogata
Comparison of Consolidation Methods for Predictive Learning of Time Series. IEA/AIE (1) (2021)
André Yuji Yasutomi, Hiroki Mori, Tetsuya Ogata
A Peg-in-hole Task Strategy for Holes in Concrete. ICRA (2021)
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility. CoRR (2021)
Satoshi Ohara, Tetsuya Ogata, Hiromitsu Awano
Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA. IROS (2021)
Hayato Idei, Wataru Ohata, Yuichi Yamashita, Tetsuya Ogata, Jun Tani
Sensory attenuation develops as a result of sensorimotor experience. CoRR (2021)
Kanata Suzuki, Tetsuya Ogata
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask. CoRR (2021)
Kei Kase, Noboru Matsumoto, Tetsuya Ogata
Leveraging Motor Babbling for Efficient Robot Learning. J. Robotics Mechatronics 33 (5) (2021)
Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, Hiroki Mori, Shigeki Sugano
How to Select and Use Tools? : Active Perception of Target Objects Using Multimodal Deep Learning. IEEE Robotics Autom. Lett. 6 (2) (2021)
Mohammed Al-Sada, Pin-Chu Yang, Chang-Chieh Chiu, Tito Pradhono Tomo, MHD Yamen Saraiji, Tetsuya Ogata, Tatsuo Nakajima
From Anime To Reality: Embodying An Anime Character As A Humanoid Robot. CHI Extended Abstracts (2021)
Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata
Embodying Pre-Trained Word Embeddings Through Robot Actions. IEEE Robotics Autom. Lett. 6 (2) (2021)
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata
Compensation for Undefined Behaviors During Robot Task Execution by Switching Controllers Depending on Embedded Dynamics in RNN. IEEE Robotics Autom. Lett. 6 (2) (2021)
Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, Hiroki Mori, Shigeki Sugano
How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning. 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)
Satoshi Ohara, Tetsuya Ogata, Hiromitsu Awano
Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA. CoRR (2021)
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata
Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network. CoRR (2020)
Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Shuki Goto, Tetsuya Ogata
Visualization of Focal Cues for Visuomotor Coordination by Gradient-based Methods: A Recurrent Neural Network Shifts The Attention Depending on Task Requirements. SII (2020)
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
Transferable Task Execution from Pixels through Deep Planning Domain Learning. ICRA (2020)
Kelvin Lukman, Hiroki Mori, Tetsuya Ogata
Viewpoint Planning Based on Uncertainty Maps Created from the Generative Query Network. JSAI (2020)
Hiroki Mori, Masayuki Masuda, Tetsuya Ogata
Tactile-based curiosity maximizes tactile-rich object-oriented actions even without any extrinsic rewards. ICDL-EPIROB (2020)
Momomi Kanamura, Yuki Suga, Tetsuya Ogata
Development of a Basic Educational Kit for Robot Development Using Deep Neural Networks. SII (2020)
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. RO-MAN (2020)
Satoshi Funabashi, Shun Ogasa, Tomoki Isobe, Tetsuya Ogata, Alexander Schmitz, Tito Pradhono Tomo, Shigeki Sugano
Variable In-Hand Manipulations for Tactile-Driven Robot Hand via CNN-LSTM. IROS (2020)
Namiko Saito, Danyang Wang, Tetsuya Ogata, Hiroki Mori, Shigeki Sugano
Wiping 3D-objects using Deep Learning Model based on Image/Force/Joint Information. IROS (2020)
Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
Evaluation of Generalization Performance of Visuo-Motor Learning by Analyzing Internal State Structured from Robot Motion. New Gener. Comput. 38 (1) (2020)
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. CoRR (2020)
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
Transferable Task Execution from Pixels through Deep Planning Domain Learning. CoRR (2020)
Kanata Suzuki, Tetsuya Ogata
Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask. ICONIP (2) (2020)
Satoshi Funabashi, Tomoki Isobe, Shun Ogasa, Tetsuya Ogata, Alexander Schmitz, Tito Pradhono Tomo, Shigeki Sugano
Stable In-Grasp Manipulation with a Low-Cost Robot Hand by Using 3-Axis Tactile Sensors with a CNN. IROS (2020)
Satoshi Funabashi, Gang Yan, Andreas Geier, Alexander Schmitz, Tetsuya Ogata, Shigeki Sugano
Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand. ICRA (2019)
Kazuma Sasaki, Tetsuya Ogata
Adaptive Drawing Behavior by Visuomotor Learning Using Recurrent Neural Networks. IEEE Trans. Cogn. Dev. Syst. 11 (1) (2019)
Kei Kase, Ryoichi Nakajo, Hiroki Mori, Tetsuya Ogata
Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors. IROS (2019)
Fady Ibrahim, A. A. Abouelsoud, Ahmed M. R. Fath El-Bab, Tetsuya Ogata
Path following algorithm for skid-steering mobile robot based on adaptive discontinuous posture control. Adv. Robotics 33 (9) (2019)
Namiko Saito, Nguyen Ba Dai, Tetsuya Ogata, Hiroki Mori, Shigeki Sugano
Real-time Liquid Pouring Motion Generation: End-to-End Sensorimotor Coordination for Unknown Liquid Dynamics Trained with Deep Neural Networks. ROBIO (2019)
Fady Ibrahim, A. A. Abouelsoud, Ahmed M. R. Fath El-Bab, Tetsuya Ogata
Discontinuous Stabilizing Control of Skid-Steering Mobile Robot (SSMR). J. Intell. Robotic Syst. 95 (2) (2019)
Nelson Yalta, Shinji Watanabe, Takaaki Hori, Kazuhiro Nakadai, Tetsuya Ogata
. EUSIPCO (2019)
Lorenzo Jamone, Tetsuya Ogata, Beata J. Grzyb
From natural to artificial embodied intelligence: is Deep Learning the solution (NII Shonan Meeting 137). NII Shonan Meet. Rep. 2019 (2019)
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)
Tadahiro Taniguchi, Emre Ugur, Tetsuya Ogata, Takayuki Nagai, Yiannis Demiris
Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics. Frontiers Neurorobotics 13 (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)
Alexandre Antunes, Alban Laflaquière, Tetsuya Ogata, Angelo Cangelosi
A Bi-directional Multiple Timescales LSTM Model for Grounding of Actions and Verbs. IROS (2019)
Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, Tetsuya Ogata
Weakly-Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation. IJCNN (2019)
Shingo Murata, Hiroki Sawa, Shigeki Sugano, Tetsuya Ogata
Looking Back and Ahead: Adaptation and Planning by Gradient Descent. ICDL-EPIROB (2019)
Andrey Barsky, Claudio Zito, Hiroki Mori, Tetsuya Ogata, Jeremy L. Wyatt
Multisensory Learning Framework for Robot Drumming. CoRR (2019)
Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi, Chenguang Yang
Disentanglement in conceptual space during sensorimotor interaction. Cogn. Comput. Syst. 1 (4) (2019)
Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi
Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs. Auton. Robots 43 (5) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tetsuya Ogata