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Tatsuro Yamada

IMG_0083
Doctoral Course Student (2016 – ),
Dept. of Intermedia Art and Science,
Graduate School of Fundamental Science and Engineering,

Waseda University, Tokyo, Japan

Email: yamadat[at]idr.ias.sci.waseda.ac.jp


Affiliations


Laboratory for Intelligent Dynamics and Representation Prof. Tetsuya Ogata, Waseda University, Tokyo, Japan.
Graduate Program for Embodiment Informatics, Waseda University Program for Leading Graduate Schools
Research Fellow of Japan Society for the Promotion of Science DC2
The Robotics Society of Japan Student Member

Research Interests


Integrative Learning of Language and Behavior on Robots
Keywords:Cognitive Robotics,Neural Networks,Symbol Grounding Problem

Publications


Journal Articles | Peer-Reviewed

  1. Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata,
    “Representation Learning of Logical Operations by an RNN via Sequence Translation from Natural Language to Robot Behavior,” Under revision, 2017.
  2. 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 (IF: 1.723, 2016 JCR), Vol. 10, Article 5, pp. 1–17, 2016. 
International Conference Papers | Peer-Reviewed *Presenter is underlined.

  1. 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.
  2. 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 (ICANN2017), Accepted for Oral Presentation (Acceptance Rate: 47.4%), Alghero, Italy, September 2017.
  3. 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
  4. Tatsuro YamadaShingo 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
  5. 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.
International Conference Abstract | Peer-Reviewed *Presenter is underlined.

  1. 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
  2. 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.
Domestic Conference Papers

See Japanese page.

Education


April, 2016 – present

Doctoral Course Student, Dept. of Intermedia Art and Science, Graduate School of Fundamental Science and Engineering, Waseda University
Advisor: Prof. Tetsuya Ogata

April, 2014 – March, 2016

Master of Engineering, Dept. of Intermedia Art and Science, Graduate School of Fundamental Science and Engineering, Waseda University
Advisor: Prof. Tetsuya Ogata
Master Thesis: “Dynamical Grounding of Language and Behavior by a Recurrent Neural Network for Human–robot Interaction”

April, 2010 – March, 2014

Bachelor of Engineering, Dept. of Intermedia Art and Science, School of Fundamental Science and Engineering, Waseda University
Advisor: Prof. Taikan Yamada
Graduation Thesis: “Analytical Disuccsion of Intentionality on a Biological Basis”

April, 2007 – March, 2010

Waseda University Honjo Senior High School

Awards


September, 2016

Best Paper Award, The 25th International Conference on Artificial Neural Networks (ICANN2016)

September, 2016

Grant for Researchers Attending International Conferences, The Telecommunication Advancement Foundation

September, 2015

Grant for Researchers Attending International Conferences, The Hara Research Foundation 

March, 2015

Incentive Award for Student of IPSJ National Convention, Information Processing Society of Japan

Scholarships


July, 2011

Waseda University’s 125th Anniversary Scholarships, Waseda University

Copyright © 2014-2016 Tatsuro Yamada. All Rights Reserved.

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