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J-GLOBAL ID：201701014576883953   Update date: Nov. 22, 2024

Mori Hiroki

モリ ヒロキ | Mori Hiroki
Affiliation and department：
早稲田大学 次世代ロボット研究機構

About 早稲田大学 次世代ロボット研究機構


Job title： 主任研究員
Other affiliations (1)：
Research field  (3)： Fetal medicine/Pediatrics ,  Neuroscience - general ,  Intelligent robotics
Research keywords  (10)： Motion analysis ,  infant ,  consciousness ,  development ,  fetus ,  Deep Neural Networks ,  Multivariate Analysis ,  Pattern Recognition ,  Constructive Developmental Science ,  Robotics
Research theme for competitive and other funds  (7)：
  • 2021 - 2024 Holism in neuroscience: Large-scale recording and simulation
  • 2021 - 2024 Holistic approach towards understanding cognitive and motor development based on interaction among brain, body, and environment.
  • 2012 - 2016 Constructive developmental research: Structural of nervous system, body, environment limitation induces human development from a fetus to an infant.
  • 2012 - 2016 Revealing the principles of early development and its disorders based on simulation of the fetus and neonate
  • 2012 - 2016 Constructive Developmental Science Based on Understanding the Process from Neuro-Dynamics to Social Interaction
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Papers (97)：
  • Gangadhara Naga Sai Gubbala, Masato Nagashima, Hiroki Mori, Young Ah Seong, Hiroki Sato, Ryuma Niiyama, Yuki Suga, Tetsuya Ogata. Augmenting Compliance With Motion Generation Through Imitation Learning Using Drop-Stitch Reinforced Inflatable Robot Arm With Rigid Joints. IEEE Robotics and Automation Letters. 2024. 9. 10. 8595-8602
  • 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
  • Hiroki Mori. Is “model of others” really necessary?. Cognitive studies: Bulletin of the Japanese Cognitive Science Society. 2023. 30. 4. 553-555
  • Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata. Modality Attention for Prediction-Based Robot Motion Generation: Improving Interpretability and Robustness of Using Multi-Modality. IEEE Robotics and Automation Letters. 2023. 8. 12. 8271-8278
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MISC (7)：
  • 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
  • 伊藤洋, 伊藤洋, 山本健次郎, 森裕紀, 尾形哲也, 尾形哲也. Reflection Motion Learning of Real Robot using Deep Neural Network: Joint Research and Development of Hitachi, Ltd. and Waseda University. 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). 2020. 2020
  • YAMADA Yasunori, MORI Hiroki, KUNIYOSHI Yasuo. 1A1-F12 An Early Developmental Scenario for Self-organization of Behaviors Based on Sensory Restrictions. 2010. 2010. "1A1-F12(1)"-"1A1-F12(4)"
  • MORI Hiroki, KUNIYOSHI Yasuo. 2P1-G08 Self-organization of somatosensory area through STDP with interaction between a body and an environment. 2008. 2008. "2P1-G08(1)"-"2P1-G08(4)"
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Patents (4)：
  • Fruit Harvesting Device
  • 青果物収穫装置
  • 組立システム、制御方法、およびプログラム
  • A method to extract a feature and a system to extract the feature
Lectures and oral presentations  (7)：
  • Robotic Skill Transfer by Machine Learning
    (IEEE - Sri Lanka Robotics Meetup (Online) 2021)
  • 触覚が導く初期胎児行動発達構成論
    (第76回日本心理学会 2012)
  • 胎児・新生児の発達をどのように理解したらよいか
    (日本発達心理学会 大会主催シンポジウム「赤ちゃん学が発達心理学に期待するもの」 2015)
  • 胎児・新生児発達への構成論的アプローチ
    (計測自動制御学会中部支部 制御理論研究委員会・組込みシステムと制御研究委員会 合同研究会 2014)
  • A synthetic approach toward fetal development: Can whole body fetal simulation lead to new insights for human development studies?
    (Computational Models of Infant Development, International Conference on Infant Studies (ICIS 2014) Pre-Conference 2014)
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Education (4)：
  • 2006 - 2009 The University of Tokyo Faculty of Information Science and Technology Department of Mechano-Informatics
  • 2004 - 2006 Toyohashi University of Technology Graduate School of Engineering Department of Computer Science and Engineering
  • 2002 - 2004 Toyohashi University of Technology Faculty of Engineering Department of Computer Science and Engineering
  • 1997 - 2002 Gifu National College of Technology Department of Electrical Engineering
Professional career (1)：
  • Ph.D (University of Tokyo)
Work history (7)：
  • 2022/04 - 現在 Waseda University Future Robotics Organization Visiting researcher
  • 2017/10 - 2022/03 Waseda University Future Robotics Organization Researcher/Associate Professor
  • 2017/04 - 2017/09 Waseda University Ogata Laboratory, Faculty of Science and Engineering Assistant Professor
  • 2017/04 - 2017/09 Waseda University Future robotics organization Junior Researcher
  • 2016/04 - 2017/03 University of Cergy-Pontoise (Frande) ETIS lab Researcher
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Committee career (3)：
  • 2014/09 - 現在 日本ロボット学会 開かれた知能専門委員会
  • 2011/10 - 現在 発達神経科学会 理事会
  • 2011/04 - 現在 日本赤ちゃん学会 若手部会
Awards (8)：
  • 2024/09 - Robotics Society of Japan Advanced Robotics Best Paper Award Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs
  • 2022/01 - 2022 IEEE/SISE International Symposium on Systems Integration Best Paper Award Buttoning Task with a Dual-Arm Robot: An Exploratory Study on a Marker-based Algorithmic Method and Marker-less Machine Learning Methods
  • 2021/06 - Robotics and Automation Society of IEEE IEEE International Conference on Robotics and Automation (ICRA) 2021 Best Paper Award in Cognitive Robotics How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
  • 2020/07 - Japan Society for Artificial Intelligence JSAI Incentive Award Learning to acquire integrated representations of language, environment, and action: Understanding unknown linguistic commands by retrofitted word embeddings
  • 2019/12 - System Integration Division, The Society of Instrument and Control Engineers Excellent Presentation Award Development of Automatic Classification System for Jellyfish Sign Using Deep Learning
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Association Membership(s) (6)：
Japanese Neural Network Society ,  The Japanese Society for Artificial Intelligence ,  Japan Society for Developmental Neuroscience ,  THE ROBOTICS SOCIETY OF JAPAN ,  The Japanese society of baby science ,  THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN
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