Tatsuro Yamada, Hiroyuki Matsunaga, Tetsuya Ogata, "Paired Recurrent Autoencoders for Bidirectional Translation between Robot Actions and Linguistic Descriptions,"IEEE Robotics and Automation Letters (RA-L), accepted, 2018. Open Access
Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions,” Frontiers in Neurorobotics, (2017 JIF: 2.606), Vol. 11, Article 70, pp. 1–18, 2017. Open Access
Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human–Robot Interaction ,” Frontiers in Neurorobotics (2017 JIF: 2.606), Vol. 10, Article 5, pp. 1–17, 2016. Open Access
Tatsuro Yamada, Hiroyuki Matsunaga, and Tetsuya Ogata, "Paired Recurrent Autoencoders for Bidirectional Translation between Robot Actions and Linguistic Descriptions," Proceedings of 2018 IEEE/RAS International Conference on Intelligent Robots and Systems (IROS 2018), Accepted, (acceptance rate 46.7%), Madrid, Spain, October 1-5, 2018.
Tatsuro Yamada, Tetsuro Kitahara, Hiroaki Arie, and Tetsuya Ogata, “Four-part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network,” The 13th International Symposium on Computer Music Multidisciplinary Research (CMMR2017), Porto, Portugal, September 2017.
Tatsuro Yamada, Saki Ito, Hiroaki Arie, and Tetsuya Ogata, “Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience,” The 26th International Conference on Artificial Neural Networks 2017 (ICANN2017) , Accepted for Oral Presentation (Acceptance Rate: 47.4%), Alghero, Italy, September 2017.
Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Dynamical Linking of Positive and Negative Sentences to Goal-oriented Robot Behavior by Hierarchical RNN,” In Artificial Neural Networks and Machine Learning — ICANN 2016, Lecture Notes in Computer Science (LNCS), Alessandro E.P. Villa et al. (Eds.), Vol. 9886, pp. 339–346, 2016 (Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), Accepted for Oral Presentation, Barcelona, Spain, September 2016), Travel grant from the Telecommunications Advancement Foundation, Best Paper Award.
Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Attractor Representations of Language–behavior Structure in a Recurrent Neural Network for Human–robot Interaction,” In In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Accepted (Acceptance Rate: 46%), pp. 4179–4184, Hamburg, Germany, September 2015, Travel Grant from the Hara Research Foundation.
Shingo Murata, Saki Tomioka, Ryoichi Nakajo, Tatsuro Yamada, Hiroaki Arie, Tetsuya Ogata, and Shigeki Sugano, “Predictive Learning with Uncertainty Estimation for Modeling Infants’ Cognitive Development with Caregivers: A Neurorobotics Experiment,” In Proceedings of the Fifth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2015), Accepted for Oral Presentation , pp. 302–307, Providence, USA, August 2015.
Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Representation Learning of Logical Words via Seq2seq Learning from Linguistic Instructions to Robot Actions,”Workshop on Representation Learning for Human and Robot Cognition, The 5th International Conference on Human–Agent Interaction (HAI 2017) , Accepted for Oral Presentation, Bielefeld, Germany, October 2017
Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Logically Complex Symbol Grounding for Interactive Robots by Seq2seq Learning with an LSTM-RNN,” In The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS2016, Acceptance Rate for demonstration: 36.4%), Barcelona, Spain, December 2016.