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How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning


Jun 04, 2021
Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, Hiroki Mori, Shigeki Sugano

* IEEE Robotics and Automation Letters 2021 
* Best Paper Award of Cognitive Robotics in ICRA2021 IEEE Robotics and Automation Letters 2021, Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021), 2021 

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Embodying Pre-Trained Word Embeddings Through Robot Actions


Apr 17, 2021
Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata

* IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 4225-4232, 2021 
* To appear in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA 2021) 

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In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning


Mar 17, 2021
Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata

* Submitted to IROS 2021 

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Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation


Mar 02, 2021
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata


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Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask


Jan 18, 2021
Kanata Suzuki, Tetsuya Ogata

* Published as a conference paper at ICONIP 2020 

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HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation


Mar 31, 2020
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata

* 8 pages, 11 figures, submitted to Ro-MAN 2020 

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Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network


Mar 10, 2020
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata

* 8pages 

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Transferable Task Execution from Pixels through Deep Planning Domain Learning


Mar 08, 2020
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox

* 7 pages, 6 figures. Conference paper accepted in International conference on Robotics and Automation (ICRA) 2020 

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CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments


Nov 07, 2018
Nelson Yalta, Shinji Watanabe, Takaaki Hori, Kazuhiro Nakadai, Tetsuya Ogata

* 5 pages, 1 figure 

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Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability


Sep 28, 2018
Zhihao Li, Toshiyuki Motoyoshi, Kazuma Sasaki, Tetsuya Ogata, Shigeki Sugano

* 11 pages, 4 figures, 3 tables 

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Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning


Sep 23, 2018
Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano

* 7 pages, 9 figures 

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Motion Switching with Sensory and Instruction Signals by designing Dynamical Systems using Deep Neural Network


Jul 05, 2018
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata

* 8 pages, 6 figures, accepted for publication in RA-L. An accompanied video is available at this https://youtu.be/a73KFtOOB5Y 

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Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation


Jul 03, 2018
Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, Tetsuya Ogata

* 5 pages, 5 figures 

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Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model


Apr 17, 2018
Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi

* Submitted to ICDL/EpiRob 2018 (8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics ) 

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AFA-PredNet: The action modulation within predictive coding


Apr 11, 2018
Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang, Tetsuya Ogata

* Accepted: International Joint Conference on Neural Networks (IJCNN 2018) 

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General problem solving with category theory


Sep 14, 2017
Francisco J. Arjonilla, Tetsuya Ogata

* Laboratory for Intelligent Dynamics and Representation. Waseda University 

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Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models


Feb 07, 2017
Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata

* Accepted by IJCNN 2017 

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Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs


May 11, 2016
Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi

* Submitted to Autonomous Robots 

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Symbol Emergence in Robotics: A Survey


Sep 29, 2015
Tadahiro Taniguchi, Takayuki Nagai, Tomoaki Nakamura, Naoto Iwahashi, Tetsuya Ogata, Hideki Asoh

* submitted to Advanced Robotics 

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