Rchr
J-GLOBAL ID:200901081583538745   Update date: Sep. 25, 2024

Ogata Tetsuya

オガタ テツヤ | Ogata Tetsuya
Affiliation and department:
Job title: Professor
Other affiliations (1):
  • National Institute of Advanced Industrial Science and Technology  Artificial Intelligence Research Center   Joint Appointed Fellow
Homepage URL  (2): https://ogata-lab.jp/ja/member_ja/ogata_ja.htmlhttps://ogata-lab.jp/member/ogata.html
Research field  (2): Robotics and intelligent systems ,  Intelligent robotics
Research keywords  (2): Deep Predictive Learning ,  Cognitive Robotics
Research theme for competitive and other funds  (19):
  • 2020 - 2025 一人に一台一生寄り添うスマートロボットAIREC
  • 2020 - 2022 実世界に埋め込まれる人間中心の人工知能技術の研究開発
  • 2019 - 2022 Dense 3-axis tactile sensing and AI to implement human-like manual skills in robots
  • 2015 - 2021 記号創発ロボティクスによる人間機械コラボレーション基盤創成
  • 2017 - 2020 日常生活支援ロボット
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Papers (998):
  • Shardul Kulkarni, Satoshi Funabashi, Alexander Schmitz, Tetsuya Ogata, Shigeki Sugano. Tactile Object Property Recognition Using Geometrical Graph Edge Features and Multi-Thread Graph Convolutional Network. IEEE Robotics and Automation Letters. 2024
  • Naoki Shirakura, Natsuki Yamanobe, Tsubasa Maruyama, Yukiyasu Domae, Tetsuya Ogata. Work Tempo Instruction Framework for Balancing Human Workload and Productivity in Repetitive Task. HRI (Companion). 2024. 980-984
  • Suzuka Harada, Ryoichi Nakajo, Kei Kase, Tetsuya Ogata. Automatic Segmentation of Continuous Time-Series Data Based on Prediction Error Using Deep Predictive Learning. SII. 2024. 928-933
  • Hiroto Iino, Kei Kase, Ryoichi Nakajo, Naoya Chiba, Hiroki Mori, Tetsuya Ogata. Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States. SII. 2024. 478-483
  • Kenjiro Yamamoto, Hiroshi Ito, Hideyuki Ichiwara, Hiroki Mori, Tetsuya Ogata. Real-Time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes. SII. 2024. 390-397
more...
MISC (5):
  • 飯野寛人, 飯野寛人, 千葉直也, 森裕紀, 森裕紀, 尾形哲也, 尾形哲也. Faster Multi-DoF Robot Optimal Path Planning Using Latent Space of GANs with Comparison of Optimization Algorithms. 日本機械学会ロボティクス・メカトロニクス講演会講演論文集(CD-ROM). 2023. 2023
  • 上和野雄也, 鈴木彼方, 鈴木彼方, 千葉直也, 千葉直也, 森裕紀, 尾形哲也, 尾形哲也. Multi-Step Ahead Image Prediction with Mixture of Experts for Embodied Question Answering. 日本機械学会ロボティクス・メカトロニクス講演会講演論文集(CD-ROM). 2023. 2023
  • 大山, 知理, 鈴木, 彼方, 陽, 品駒, 尾形, 哲也. 深層学習によるロボット知能化のためのモーションキャプチャ教示システム. 第79回全国大会講演論文集. 2017. 2017. 1. 147-148
  • 陽品駒, 佐々木一磨, 鈴木彼方, 加瀬敬唯, 高橋城志, 高橋城志, 菅野重樹, 尾形哲也, 尾形哲也. Wizard of Ozと深層学習によるロボットの柔軟物折り畳み作業. 日本ロボット学会学術講演会予稿集(CD-ROM). 2016. 34th
  • 陽品駒, 高橋城志, 高橋城志, 尾形哲也, 菅祐樹, 菅野重樹. RTCによる深層学習モデルと柔軟関節ロボットの統合~道具身体化モデルの学習データ収集と動作実現~. 日本ロボット学会学術講演会予稿集(CD-ROM). 2015. 33rd
Patents (3):
Books (14):
  • ロボット工学ハンドブック
    コロナ社 2023 ISBN:9784339046793
  • Cognitive robotics
    MIT Press 2022 ISBN:9780262046831
  • 有斐閣現代心理学辞典
    有斐閣 2021 ISBN:9784641002661
  • 「こころ」とアーティフィシャル・マインド
    創元社 2021 ISBN:9784422117577
  • AI人工知能特集号
    角川アスキー総合研究所,KADOKAWA (発売) 2020 ISBN:9784049110517
more...
Lectures and oral presentations  (167):
  • 人と技術のソーシャル・イノベーション:〇〇社会をデザインする
    (日本ソーシャル・イノベーション学会 2024)
  • AI とロボットの進化の現状と将来展望
    (第 93 回 WIN 定例講演会・第 48 人間情報学会講演会 2024)
  • 「製造業におけるAI技術の未来を探る:基礎から産業応用まで」
    (IEEE ITS Society 名古屋チャプタ 2024)
  • 人間を支援する汎用型のAIロボットへ向けて
    (次世代向け2024年夏AIセミナー, 人工知能学会 2024)
  • Design of Deep Learning for Robotics and Applications
    (IEEE WIE SL Section in collaboration with the IEEE RAS Sri Lanka Chapter and the IEEE CIS Sri Lanka Chapter 2024)
more...
Education (3):
  • 1995 - 1998 Waseda University Graduate School of Science and Engineering Department of Mechanical Engineering
  • 1993 - 1995 Waseda University Graduate School of Science and Engineering Department of Mechanical Engineering
  • 1989 - 1993 Waseda University School of Science and Engineering Department of Mechanical Engineering
Professional career (1):
  • Dr. Eng. (Waseda University)
Work history (8):
  • 2017/10 - 現在 National Institute of Advanced Industrial Science and Technology Artificial Intelligence Research Center (AIRC) Joint-appointed Fellow
  • 2012/04 - 現在 Waseda University Faculty of Science and Engineering Professor
  • 2009/10 - 2015/03 Japan Science and Technology Agency PRESTO Researcher
  • 2005/06 - 2012/03 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology Associate Professor
  • 2003/10 - 2005/05 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology Lecturer
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Committee career (7):
  • 2017/04 - 現在 Japan Deep Learning Association Director
  • 2016/07 - 2018/06 The Japanese Society for Artificial Intelligence Director
  • 2018/04 - G1 Institute Deep Learning Research Group Advisory Board Member
  • 2018/04 - 2020/03 The Society of Instrument and Control Engineers Director
  • 2013/01 - 2014/12 The Robotics Society of Japan Director
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Awards (29):
  • 2024/09 - Advanced Robotics, The Robotics Society of Japan Best Paper Award Learning-based Collision-free Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs
  • 2024/01 - IEEE/SICE International Symposium on System Integration (SII 2024) Best paper award Nomination Finalist Real-time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes
  • 2023/07 - The International Congress for Basic Science Frontiers of Science Awards How to select and use tools?: Active perception of target objects using multimodal deep learning
  • 2023/04 - 文部科学省 文部科学大臣表彰科学技術賞(研究部門) 深層予測学習によるロボットのマルチタスク学習に関する研究
  • 2023/02 - 日本機械学会 フェロー
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Association Membership(s) (9):
Japan Deep Learning Association ,  Japan Society for Developmental Neuroscience ,  IEEE ,  The Japanese Society for Artificial Intelligence ,  The Society of Instrument and Control Engineers (Fellow) ,  Society of Biomechanism Japan ,  The Japan Society of Mechanical Engineering (Fellow) ,  Robotics Society of Japan (Fellow) ,  Information Processing Society of Japan
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