• 2535 引用
  • 24 h指数
19962019

Research output per year

Pureに変更を加えた場合、すぐここに表示されます。

研究成果

2019

Encoding Longer-term Contextual Sensorimotor Information in a Predictive Coding Model

Zhong, J., Ogata, T. & Cangelosi, A., 2019 1 28, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (版). Institute of Electrical and Electronics Engineers Inc., p. 160-167 8 p. 8628911. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

研究成果: Conference contribution

Looking Back and Ahead: Adaptation and Planning by Gradient Descent

Murata, S., Sawa, H., Sugano, S. & Ogata, T., 2019 8, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2019. Aly, A., Bicho, E., Boucenna, S., Castro da Silva, B., Chetouani, M., del Pobil, A. P., Diard, J., Doncieux, S., Goksun, T., Grimminger, A., Guerin, F., Hagiwara, Y., Jamone, L., Kalkan, S., Lara, B., Moulin-Frier, C., Murata, S., Nagai, T., Nagai, Y., Nomikou, I., Ogino, M., Oudeyer, P-Y., Pereira, A. F., Pitti, A., Raczaszek-Leonardi, J., Risi, S., Rosman, B., Sandamirskaya, Y., Schilling, M., Sciutti, A., Shaw, P., Soltoggio, A., Spranger, M., Taniguchi, T., Thill, S., Triesch, J., Ugur, E. & Vollmer, A-L. (版). Institute of Electrical and Electronics Engineers Inc., p. 151-156 6 p. 8850693. (2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2019).

研究成果: Conference contribution

Morphology-specific convolutional neural networks for tactile object recognition with a multi-fingered hand

Funabashi, S., Yan, G., Geier, A., Schmitz, A., Ogata, T. & Sugano, S., 2019 5, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 57-63 7 p. 8793901. (Proceedings - IEEE International Conference on Robotics and Automation; 巻数 2019-May).

研究成果: Conference contribution

1 引用 (Scopus)

Path following algorithm for skid-steering mobile robot based on adaptive discontinuous posture control

Ibrahim, F., Abouelsoud, A. A., Fath Elbab, A. M. R. & Ogata, T., 2019 5 3, : : Advanced Robotics. 33, 9, p. 439-453 15 p.

研究成果: Article

1 引用 (Scopus)
2 引用 (Scopus)

Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning

Saito, N., Kim, K., Murata, S., Ogata, T. & Sugano, S., 2019 1 23, 2018 IEEE-RAS 18th International Conference on Humanoid Robots, Humanoids 2018. IEEE Computer Society, p. 814-819 6 p. 8625048. (IEEE-RAS International Conference on Humanoid Robots; 巻数 2018-November).

研究成果: Conference contribution

Weakly-Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation

Yalta, N., Watanabe, S., Nakadai, K. & Ogata, T., 2019 7, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851872. (Proceedings of the International Joint Conference on Neural Networks; 巻数 2019-July).

研究成果: Conference contribution

1 引用 (Scopus)
2018
公開
1 引用 (Scopus)

AFA-PredNet: The Action Modulation Within Predictive Coding

Zhong, J., Cangelosi, A., Zhang, X. & Ogata, T., 2018 10 10, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 巻 2018-July. 8489751

研究成果: Conference contribution

2 引用 (Scopus)

Deep 3D pose dictionary: 3D human pose estimation from single RGB image using deep convolutional neural network

Elbasiony, R., Gomaa, W. & Ogata, T., 2018 1 1, Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, 2018, Proceedings. Manolopoulos, Y., Hammer, B., Kurkova, V., Iliadis, L. & Maglogiannis, I. (版). Springer-Verlag, p. 310-320 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11141 LNCS).

研究成果: Conference contribution

Detecting features of tools, objects, and actions from effects in a robot using deep learning

Saito, N., Kim, K., Murata, S., Ogata, T. & Sugano, S., 2018 9, 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2018. Institute of Electrical and Electronics Engineers Inc., p. 91-96 6 p. 8761029. (2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2018).

研究成果: Conference contribution

Discontinuous Stabilizing Control of Skid-Steering Mobile Robot (SSMR)

Ibrahim, F., Abouelsoud, A. A., Fath El Bab, A. M. R. & Ogata, T., 2018 4 23, (Accepted/In press) : : Journal of Intelligent and Robotic Systems: Theory and Applications. p. 1-14 14 p.

研究成果: Article

1 引用 (Scopus)

Dynamic motion generation by flexible-joint robot based on deep learning using images

Wu, Y., Takahashi, K., Yamada, H., Kim, K., Murata, S., Sugano, S. & Ogata, T., 2018 9, 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2018. Institute of Electrical and Electronics Engineers Inc., p. 169-174 6 p. 8761020. (2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2018).

研究成果: Conference contribution

1 引用 (Scopus)

Effective input order of dynamics learning tree

Kim, C. H., Hama, S., Hirai, R., Takahashi, K., Yamada, H., Ogata, T. & Sugano, S., 2018 2 1, : : Advanced Robotics. 32, 3, p. 122-136 15 p.

研究成果: Article

2 引用 (Scopus)

Encoding Longer-Term Contextual Information with Predictive Coding and Ego-Motion

Zhong, J., Cangelosi, A., Ogata, T. & Zhang, X., 2018 1 1, : : Complexity. 2018, 7609587.

研究成果: Article

1 引用 (Scopus)

End-to-End Visuomotor Learning of Drawing Sequences using Recurrent Neural Networks

Sasaki, K. & Ogata, T., 2018 10 10, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 巻 2018-July. 8489744

研究成果: Conference contribution

3 引用 (Scopus)

Four-Part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network

Yamada, T., Kitahara, T., Arie, H. & Ogata, T., 2018 1 1, Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers. Davies, M. E. P., Aramaki, M., Kronland-Martinet, R. & Ystad, S. (版). Springer Verlag, p. 213-225 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11265 LNCS).

研究成果: Conference contribution

5 引用 (Scopus)
公開
4 引用 (Scopus)
公開
9 引用 (Scopus)

Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning

Kase, K., Suzuki, K., Yang, P. C., Mori, H. & Ogata, T., 2018 9 10, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc., p. 6447-6452 6 p. 8460623. (Proceedings - IEEE International Conference on Robotics and Automation).

研究成果: Conference contribution

7 引用 (Scopus)

Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment

Idei, H., Murata, S., Chen, Y., Yamashita, Y., Tani, J. & Ogata, T., 2018 4 2, 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017. Institute of Electrical and Electronics Engineers Inc., 巻 2018-January. p. 271-276 6 p.

研究成果: Conference contribution

3 引用 (Scopus)

Understanding natural language sentences with word embedding and multi-modal interaction

Zhong, J., Ogata, T., Cangelosi, A. & Yang, C., 2018 4 2, 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017. Institute of Electrical and Electronics Engineers Inc., 巻 2018-January. p. 184-189 6 p.

研究成果: Conference contribution

3 引用 (Scopus)
2017

Analysis of imitative interactions between humans and a robot with a neuro-dynamical system

Murata, S., Hirano, K., Arie, H., Sugano, S. & Ogata, T., 2017 2 6, SII 2016 - 2016 IEEE/SICE International Symposium on System Integration. Institute of Electrical and Electronics Engineers Inc., p. 343-348 6 p. 7844022

研究成果: Conference contribution

1 引用 (Scopus)

An effective visual programming tool for learning and using robotics middleware

Yumi, N., Yuki, S. & Ogata, T., 2017 2 6, SII 2016 - 2016 IEEE/SICE International Symposium on System Integration. Institute of Electrical and Electronics Engineers Inc., p. 156-161 6 p. 7843991

研究成果: Conference contribution

A reusability-based hierarchical fault-detection architecture for robot middleware and its implementation in an autonomous mobile robot system

Asato, T., Suga, Y. & Ogata, T., 2017 2 6, SII 2016 - 2016 IEEE/SICE International Symposium on System Integration. Institute of Electrical and Electronics Engineers Inc., p. 150-155 6 p. 7843990

研究成果: Conference contribution

2 引用 (Scopus)

Dynamic motion learning for multi-DOF flexible-joint robots using active–passive motor babbling through deep learning

Takahashi, K., Ogata, T., Nakanishi, J., Cheng, G. & Sugano, S., 2017 9 17, : : Advanced Robotics. 31, 18, p. 1002-1015 14 p.

研究成果: Article

2 引用 (Scopus)

Emergence of interactive behaviors between two robots by prediction error minimization mechanism

Chen, Y., Murata, S., Arie, H., Ogata, T., Tani, J. & Sugano, S., 2017 2 7, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016. Institute of Electrical and Electronics Engineers Inc., p. 302-307 6 p. 7846838

研究成果: Conference contribution

4 引用 (Scopus)

Learning of labeling room space for mobile robots based on visual motor experience

Yamada, T., Ito, S., Arie, H. & Ogata, T., 2017 1 1, Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings. Verschure, P. F., Lintas, A., Villa, A. E. & Rovetta, S. (版). Springer Verlag, p. 35-42 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 10613 LNCS).

研究成果: Conference contribution

1 引用 (Scopus)
15 引用 (Scopus)

Mixing actual and predicted sensory states based on uncertainty estimation for flexible and robust robot behavior

Murata, S., Masuda, W., Tomioka, S., Ogata, T. & Sugano, S., 2017 1 1, Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings. Springer-Verlag, p. 11-18 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 10613 LNCS).

研究成果: Conference contribution

2 引用 (Scopus)

Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning

Yang, P. C., Sasaki, K., Suzuki, K., Kase, K., Sugano, S. & Ogata, T., 2017 4 1, : : IEEE Robotics and Automation Letters. 2, 2, p. 397-403 7 p., 7762066.

研究成果: Article

公開
48 引用 (Scopus)

Representation learning of logic words by an RNN: From word sequences to robot actions

Yamada, T., Murata, S., Arie, H. & Ogata, T., 2017 1 1, : : Frontiers in Neurorobotics. 11, 70.

研究成果: Article

公開
4 引用 (Scopus)

Sound source localization using deep learning models

Yalta, N., Nakadai, K. & Ogata, T., 2017 2 1, : : Journal of Robotics and Mechatronics. 29, 1, p. 37-48 12 p.

研究成果: Article

15 引用 (Scopus)

Tool-body assimilation model considering grasping motion through deep learning

Takahashi, K., Kim, K., Ogata, T. & Sugano, S., 2017 5 1, : : Robotics and Autonomous Systems. 91, p. 115-127 13 p.

研究成果: Article

12 引用 (Scopus)

Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models

Zhong, J., Cangelosi, A. & Ogata, T., 2017 6 30, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 巻 2017-May. p. 3625-3632 8 p. 7966312

研究成果: Conference contribution

7 引用 (Scopus)
2016

Body model transition by tool grasping during motor babbling using deep learning and RNN

Takahashi, K., Tjandra, H., Ogata, T. & Sugano, S., 2016, Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings. Springer Verlag, 巻 9886 LNCS. p. 166-174 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9886 LNCS).

研究成果: Conference contribution

Classification of photo and sketch images using convolutional neural networks

Sasaki, K., Yamakawa, M., Sekiguchi, K. & Ogata, T., 2016, Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings. Springer Verlag, 巻 9887 LNCS. p. 283-290 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9887 LNCS).

研究成果: Conference contribution

2 引用 (Scopus)
16 引用 (Scopus)

Dynamical linking of positive and negative sentences to goal-oriented robot behavior by hierarchical RNN

Yamada, T., Murata, S., Arie, H. & Ogata, T., 2016, Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings. Springer Verlag, 巻 9886 LNCS. p. 339-346 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9886 LNCS).

研究成果: Conference contribution

2 引用 (Scopus)

Self and non-self discrimination mechanism based on predictive learning with estimation of uncertainty

Nakajo, R., Takahashi, M., Murata, S., Arie, H. & Ogata, T., 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Springer Verlag, 巻 9950 LNCS. p. 228-235 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9950 LNCS).

研究成果: Conference contribution

2 引用 (Scopus)

Symbol emergence in robotics: A survey

Taniguchi, T., Nagai, T., Nakamura, T., Iwahashi, N., Ogata, T. & Asoh, H., 2016 6 17, : : Advanced Robotics. 30, 11-12, p. 706-728 23 p.

研究成果: Article

35 引用 (Scopus)

Visual motor integration of robot's drawing behavior using recurrent neural network

Sasaki, K., Noda, K. & Ogata, T., 2016 12 1, : : Robotics and Autonomous Systems. 86, p. 184-195 12 p.

研究成果: Article

12 引用 (Scopus)
2015

Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences

Nakajo, R., Murata, S., Arie, H. & Ogata, T., 2015 12 2, 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015. Institute of Electrical and Electronics Engineers Inc., p. 326-331 6 p. 7346166

研究成果: Conference contribution

6 引用 (Scopus)

Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction

Yamada, T., Murata, S., Arie, H. & Ogata, T., 2015 12 11, IEEE International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., 巻 2015-December. p. 4179-4184 6 p. 7353968

研究成果: Conference contribution

4 引用 (Scopus)

Audio-visual speech recognition using deep learning

Noda, K., Yamaguchi, Y., Nakadai, K., Okuno, H. G. & Ogata, T., 2015 6 1, : : Applied Intelligence. 42, 4, p. 722-737 16 p.

研究成果: Article

165 引用 (Scopus)

Effective motion learning for a flexible-joint robot using motor babbling

Takahashi, K., Ogata, T., Yamada, H., Tjandra, H. & Sugano, S., 2015 12 11, IEEE International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., 巻 2015-December. p. 2723-2728 6 p. 7353750

研究成果: Conference contribution

4 引用 (Scopus)

Efficient motor babbling using variance predictions from a recurrent neural network

Takahashi, K., Suzuki, K., Ogata, T., Tjandra, H. & Sugano, S., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 巻 9491. p. 26-33 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9491).

研究成果: Conference contribution

1 引用 (Scopus)