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Tetsuya Ogata

Tetsuya Ogata

D-Index & Metrics

Computer Science

D-Index
40
Citations
6714
World Ranking
9312
National Ranking
135

Overview

Tetsuya Ogata is affiliated with Waseda University in Japan. Their research spans multiple fields of engineering and computer science, focusing on areas such as control and systems engineering, computer vision and pattern recognition, cognitive neuroscience, artificial intelligence, and biomedical engineering.

The primary topics covered in Ogata's work include:

  • Robot Manipulation and Learning
  • Robotics and Automated Systems
  • Tactile and Sensory Interactions
  • Reinforcement Learning in Robotics
  • Soft Robotics and Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition

Ogata has published extensively, with key recent papers including:

  • Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control (2022), Science Robotics
  • Multi-Fingered In-Hand Manipulation With Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors (2022), IEEE Robotics and Automation Letters
  • Point Cloud Pre-training with Natural 3D Structures (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions (2023), IEEE Robotics and Automation Letters
  • Homogeneous Intrinsic Neuronal Excitability Induces Overfitting to Sensory Noise: A Robot Model of Neurodevelopmental Disorder (2020), Frontiers in Psychiatry

Frequent co-authors collaborating with Ogata include:

  • Hiroki Mori
  • Hiroshi Ito
  • Kanata Suzuki
  • Shigeki Sugano
  • Hideyuki Ichiwara

The scientist regularly publishes in venues such as:

  • arXiv (Cornell University)
  • The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
  • IEEE Robotics and Automation Letters
  • Advanced Robotics
  • 2022 IEEE/SICE International Symposium on System Integration (SII)

Best Publications

  • Audio-visual speech recognition using deep learning

    Kuniaki Noda;Yuki Yamaguchi;Kazuhiro Nakadai;Hiroshi G. Okuno

  • Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning

    Pin-Chu Yang;Kazuma Sasaki;Kanata Suzuki;Kei Kase

  • An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model

    K. Yoshii;M. Goto;K. Komatani;T. Ogata

  • Multimodal integration learning of robot behavior using deep neural networks

    Kuniaki Noda;Hiroaki Arie;Yuki Suga;Tetsuya Ogata

  • Hybrid collaborative and content-based music recommendation using probabilistic model with latent user preferences

    Kazuyoshi Yoshii;Masataka Goto;Kazunori Komatani;Tetsuya Ogata

  • Symbol emergence in robotics: a survey

    Tadahiro Taniguchi;Takayuki Nagai;Tomoaki Nakamura;Naoto Iwahashi

  • Lipreading using convolutional neural network

    Kuniaki Noda;Yuki Yamaguchi;Kazuhiro Nakadai;Hiroshi G. Okuno

  • Sound source localization using deep learning models

    Nelson Yalta;Kazuhiro Nakadai;Tetsuya Ogata

  • Instrument identification in polyphonic music: feature weighting to minimize influence of sound overlaps

    Tetsuro Kitahara;Masataka Goto;Kazunori Komatani;Tetsuya Ogata

  • Tactile object recognition using deep learning and dropout

    Alexander Schmitz;Yusuke Bansho;Kuniaki Noda;Hiroyasu Iwata

  • Automatic Synchronization between Lyrics and Music CD Recordings Based on Viterbi Alignment of Segregated Vocal Signals

    H. Fujihara;M. Goto;J. Ogata;K. Komatani

  • Enhanced Robot Speech Recognition Based on Microphone Array Source Separation and Missing Feature Theory

    S. Yamamoto;J.-M. Valin;J.-M. Valin;K. Nakadai;J. Rouat

  • Emotional Communication Robot: WAMOEBA-2R - Emotion Model and Evaluation Experiments -

    Tetsuya Ogata;Shigeki Sugano

  • Singer identification based on accompaniment sound reduction and reliable frame selection

    Hiromasa Fujihara;Tetsuro Kitahara;Masataka Goto;Kazunori Komatani

  • Emergence of mind in robots for human interface - research methodology and robot model

    S. Sugano;T. Ogata

  • Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World

    Shun'ichi Yamamoto;Kazuhiro Nakadai;Mikio Nakano;Hiroshi Tsujino

  • Two-way translation of compound sentences and arm motions by recurrent neural networks

    T. Ogata;M. Murase;Jun Tani;K. Komatani

  • Automatic Chord Transcription with Concurrent Recognition of Chord Symbols and Boundaries.

    Takuya Yoshioka;Tetsuro Kitahara;Kazunori Komatani;Tetsuya Ogata

  • Emotional communication between humans and the autonomous robot which has the emotion model

    T. Ogata;S. Sugano

  • A biped robot that keeps steps in time with musical beats while listening to music with its own ears

    K. Yoshii;K. Nakadai;T. Torii;Y. Hasegawa

Frequent Co-Authors

Hiroshi G. Okuno
Hiroshi G. Okuno Waseda University
Shigeki Sugano
Shigeki Sugano Waseda University
Kazuhiro Nakadai
Kazuhiro Nakadai Tokyo Institute of Technology
Jun Tani
Jun Tani Okinawa Institute of Science and Technology
Masataka Goto
Masataka Goto National Institute of Advanced Industrial Science and Technology
Angelo Cangelosi
Angelo Cangelosi University of Manchester
Dieter Fox
Dieter Fox University of Washington
Gordon Cheng
Gordon Cheng Technical University of Munich
Chenguang Yang
Chenguang Yang University of Liverpool

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