Kuniaki Noda Noda with QRIO

e-mail: kuniaki.noda [at] akane.waseda.jp
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CV

Research Interests

  • Intelligent Robotics
    • Multimodal Integration Learning of Robot Behaviors utilizing Deep Neural Networks.
  • Self-Developmental Agent and Intelligence
    • Self-Organization of Environmental Model Structure without Explicit Teaching Signals.
    • Efficient Learning with Self-Exploratory Behavior Generation Mechanism.
  • Cooperative Behavior and Communication
    • Emergence of Communication Behaviors in the Field of Collective Robotics Research.
  • Machine Learning
    • Deep Learning.
    • Self-Organization of Generalized Symbol of Robot Behavior from Multidimensional Sensory-Motor Temporal Sequence.
    • Large-Scale Multimodal Dynamics Memory Mechanism which Realizes Generalization and Additional Learning.
    • Extraction of Hidden State Using Temporal Sequence Learning Mechanism.

Summary of Qualifications

  • 3 Years’ Research Experience on
    • Developmental Intelligence from the Perspective of Statistical Learning Approach.
    • Bayesian Inference, Graphical Model, Generative Model, Hidden Markov Model, Particle Filter, etc.
  • 5 Years’ Research Experience on
    • Intelligent Robotics from the Perspective of Dynamical Systems Approach.
    • RNNPB, CTRNN, SOM, GA, GP, Reinforcement Learning, Multi-Layered Memory Mechanism, etc.
  • 2 Years’ R&D Experience on
    • Humanoid Entertainment Robot (QRIO) Product Development Project.
    • R&D Experience on Developing Ethologically-Based Artificial Emotion and Motivational System for an Autonomous Behavior Control Mechanism.

Professional Experience

  • 2015- Mobility Services Laboratory, Nissan Motor Corporation
  • 2014-2014 JSPS Research Fellow (DC2)
  • 2010-2012 Researcher, System Technologies Laboratories, Sony Corporation, Tokyo JAPAN
  • 2009-2010 Visiting Researcher, Laboratory of Intelligent Systems, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne SWITZERLAND, Supervisor: Prof. Dario Floreano
  • 2006-2009 Researcher, System Technologies Laboratories, Sony Corporation, Tokyo JAPAN
  • 2004-2006 Researcher, Sony Intelligence Dynamics Laboratory, Inc., Tokyo JAPAN
  • 2002-2004 Digital Creatures Laboratories, Sony Corporation, Tokyo JAPAN

Education

  • 2012- Ph.D Student, Department of Intermedia Art and Science, Waseda University, Tokyo, JAPAN
  • 2000-2002 Master of Engineering (M.Eng), Department of Mechanical Engineering, Waseda University, Tokyo JAPAN, Supervisor: Prof. Shigeki Sugano (Waseda Univ.).
  • 1996-2000 Bachelor of Engineering (B.Eng), Department of Mechanical Engineering, Waseda University, Tokyo JAPAN, Supervisor: Prof. Shigeki Sugano (Waseda Univ.).

Honors

  • JSPS Research Fellowships for Young Scientists (DC2), April 2014
  • Grant for Researchers Attending International Conferences, The Hara Research Foundation, August 2013
  • Best Paper Award, The Robotics Society of Japan, September 2012
  • Best Paper Award, ICDL-EpiRob 2011, August 2011
  • Hatakeyama Award, The Japan Society of Mechanical Engineers, March 1999

Society

Publications

Journal Papers

  • Audio-Visual Speech Recognition using Deep Learning

Kuniaki NODA, Yuki YAMAGUCHI, Kazuhiro NAKADAI, Hiroshi G. OKUNO, and Tetsuya OGATA

Applied Intelligence, Vol.42, Issue 4, pp. 722-737, Jun. 2015. IF: 1.853

[DOI:10.1007/s10489-014-0629-7] [OpenAccess]

  • Multimodal Integration Learning of Robot Behavior using Deep Neural Networks

Kuniaki NODA, Hiroaki ARIE, Yuki SUGA, and Tetsuya OGATA

Robotics and Autonomous Systems, Vol.62, No. 6, pp. 721-736, Jun. 2014. IF: 1.156

[DOI:10.1016/j.robot.2014.03.003] [OpenAccess]

  • Self-regulation Mechanism: a Principle for Continual Autonomous Learning in Open-ended Environments

Yukiko HOSHINO, Kenta KAWAMOTO, Kuniaki NODA, and Kotaro SABE

Journal of Robotics Society of Japan, Vol.29, No. 1, pp. 77-88, 2011.

[DOI:10.7210/jrsj.29.77] [Winner of a Best Paper Award]

  • Dynamic Perception after Visually-Guided Grasping by a Human-Like Autonomous Robot

Mototaka SUZUKI, Kuniaki NODA, Yuki SUGA, Tetsuya OGATA, and Shigeki SUGANO

Advanced Robotics, Vol.20, No. 2, pp. 233-254, Feb. 2006.

[DOI:10.1163/156855306775525785]

  • Dynamic and Interactive Generation of Object Handling Behaviors by a Small Humanoid Robot using a Dynamic Neural Network Model

Masato ITO, Kuniaki NODA, Yukiko HOSHINO, and Jun TANI

Neural Networks, Vol.19, Issue 3, pp. 323-337, Apr. 2006.

[DOI:10.1016/j.neunet.2006.02.007]

International Conference Papers

  • Sound Source Separation for Robot Audition using Deep Learning

Kuniaki NODA,  Naoya HASHIMOTO, Kazuhiro NAKADAI, and Tetsuya OGATA

Proc. of the IEEE-RAS International Conference on Humanoid Robots (Humanoids 2015), accepted, Nov. 2015, Seoul, Korea.

  • Tactile Object Recognition Using Deep Learning and Dropout

Alexander SCHMITZ, Yusuke BANSHO, Kuniaki NODA,  Hiroyasu IWATA, Tetsuya OGATA, and Shigeki SUGANO

Proc. of the IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014), pp. 1044-1050, Nov. 2014, Madrid, Spain.

[DOI: 10.1109/HUMANOIDS.2014.7041493]

  • Lipreading using Convolutional Neural Network

Kuniaki NODA, Yuki YAMAGUCHI, Kazuhiro Nakadai, Hiroshi G. OKUNO, and Tetsuya OGATA

Proc. of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), pp. 1149-1153, Sep. 2014, Singapore.

[ISCA Archive] (acceptance rate 52%)

  • Learning and Association of Synaesthesia Phenomenon using Deep Neural Networks

Yuki YAMAGUCHI, Kuniaki NODA, Shun NISHIDE, Hiroshi G. OKUNO, and Tetsuya OGATA

Proc. of IEEE/SICE Int. Symposium on System Integration (SII 2013), pp. 659-664, Dec. 2013, Kobe, Japan.

[DOI: 10.1109/SII.2013.6776750]

  • Intersensory Causality Modeling using Deep Neural Networks

Kuniaki NODA, Hiroaki ARIE, Yuki SUGA, and Tetsuya OGATA

Proc. of IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC 2013), pp.1995-2000, Oct. 2013, Manchester, UK.

[DOI:10.1109/SMC.2013.342] [slides] [Grant from the Hara Research Foundation]

  • Multimodal Integration Learning of Object Manipulation Behaviors using Deep Neural Networks

Kuniaki NODA, Hiroaki ARIE, Yuki SUGA, and Tetsuya OGATA

Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2013), pp.1728-1733, Nov. 2013, Tokyo, Japan.

[DOI:10.1109/IROS.2013.6696582] [slides] (acceptance rate 43% = 903/2089)

  • Body Area Segmentation from Visual Scene based on Predictability of Neuro-dynamical System

Harumitsu NOBUTA, Kenta KAWAMOTO, Kuniaki NODA, Kohtaro SABE, Hiroshi G. OKUNO, Shun NISHIDE, and Tetsuya OGATA

Proc. of IEEE Int. Joint Conf. on Neural Networks (IJCNN 2012), Jun. 2012, Brisbane, Australia.

[DOI:10.1109/IJCNN.2012.6252530]

  • A Generative Model for Developmental Understanding of Visuomotor Experience

Kuniaki NODA, Kenta KAWAMOTO, Takashi HASUO, and Kotaro SABE

Proc. of IEEE Int. Conf. on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2011), Aug. 2011, Frankfurt, Germany.

[DOI:10.1109/DEVLRN.2011.6037357]

  • Development of Object Manipulation through Self-exploratory Visuomotor Experience

Kenta KAWAMOTO, Kuniaki NODA, Takashi HASUO, and Kotaro SABE

Proc. of IEEE Int. Conf. on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2011), Aug. 2011, Frankfurt, Germany.

[DOI:10.1109/DEVLRN.2011.6037362] [Winner of a Best Paper Award]

  • Self-regulation Mechanism for Continual Autonomous Learning in Open-ended Environments

Kenta KAWAMOTO, Yukiko HOSHINO, Kuniaki NODA, and Kohtaro SABE

Proc. of Int. Conf. on Epigenetic Robotics (EpiRob’09), pp. 73-80, Nov. 2009, Venice, Italy.

[pdf]

  • Dynamic Generation and Switching of Object Handling Behaviors by a Humanoid Robot Using a Recurrent Neural Network Model

Kuniaki NODA, Masato ITO, Yukiko HOSHINO, and Jun TANI

Proc. of Int. Conf. on the Simulation of Adaptive Behavior (SAB’06), Lecture Notes in Artificial Intelligence, Vol.4095, pp.185-196, Sept. 2006, Rome, Italy.

[DOI:10.1007/11840541_16] [slides]

  • Associated Emotion and Its Expression in an Entertainment Robot QRIO

Fumihide TANAKA, Kuniaki NODA, Tsutomu SAWADA, and Masahiro FUJITA

Proc. of Int. Conf. on Entertainment Computing (ICEC 2004), pp. 499-504, Sept. 2004, Eindhoven, Netherlands.

[DOI:10.1007/978-3-540-28643-1_64]

  • Robust Modeling of Dynamics Environment based on Robot Embodiment

Kuniaki NODA, Mototaka SUZUKI, Naofumi TSUCHIYA, Yuki SUGA, Tetsuya OGATA, and Shigeki SUGANO

Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA 2003), pp.3565-3570, Sept. 2003, Taipei, Taiwan.

[DOI:10.1109/ROBOT.2003.1242142]

  • Influence of the Eye Motions in Human-Robot Communication and Motion Generation based on the Robot Body Structure

Tetsuya OGATA, Takaaki KOMIYA, Kuniaki NODA, and Shigeki SUGANO

Proc. of IEEE/RAS Int. Conf. on Humanoid Robots (Humanoid 2001), pp. 83-89, Nov. 2001.

  • Development of Emotional Communication Robot: WAMOEBA-2R -Experimental Evaluation of the Emotional Communication between Robots and Humans-

Tetsuya OGATA, Yoshihiro MATSUYAMA, Takaaki KOMIYA, Masataka IDA, Kuniaki NODA, and Shigeki SUGANO

Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2000), pp. 175-180, Nov. 2000.