I am a researcher of cognitive robotics and artificial agents. My interest is on how humans perceive the world and how we can apply our cognitive structure to improve flexibility and versatality of robot's perception. My works introduce human's cognitive sturctures to imitation/predictive learning, to empower robots with human capabilities.
第42回日本ロボット学会学術講演会, 2024年9月, 優秀研究・技術賞
Paper, Preprint
SICE International Young Authors Award (SIYA-IROS2022)
Xianbo Cai, Hiroshi Ito, Hyogo Hiruma, and Tetsuya Ogata: 3D Space Perception via Disparity Learning Using Stereo Images and an Attention Mechanism: Real-Time Grasping Motion Generation for Transparent Objects, IEEE Robotics and Automation Letters (RA-L) (IF: 5.2), Vol. 9, Issue: 12, Dec. 2024. DOI: 10.1109/LRA.2024.3497663
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori and Tetsuya Ogata, "Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use," in IEEE Robotics and Automation Letters, July 2022, DOI: 10.1109/LRA.2022.3187614
Hyogo Hiruma, Hiroshi Ito, and Tetsuya Ogata: UF-RNN: Real-Time Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction, Proceedings of 2025 IEEE/RAS International Conference on Intelligent Robots and Systems (IROS 2025), Accepted, (acceptance rate 46%), Hangzhou, China, October 19-25, 2025.
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, and Tetsuya Ogata: A3RNN: Bi-directional Fusion of Bottom-up and Top-down Process for Developmental Visual Attention in Robots, Proceedings of 13th IEEE International Conference on Development and Learning 2025 (ICDL 2025), accepted, Prague, Czech Republic, September 16-19, 2025.
Hyogo Hiruma, Yuki Inoue, Takuto Sato, and Hiroki Ohashi, "CSI-fingerprinting Based Human Indoor Localization in Noisy Environment using Time-Invariant CNN", The 14th Edition of the International Conference on Indoor Positioning and Indoor Navigation (IPIN2024), Kowloon, Hong Kong, October 14-17, 2024. Best Paper Award
Hyogo Hiruma, Hiroshi Ito, and Tetsuya Ogata, "Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction", 40th Anniversary of the IEEE International Conference on Robotics & Automation (ICRA@40), Rotterdan, Netherlands, September 23-26, 2024.
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, and Tetsuya Ogata, "Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use," Proceedings of 2022 IEEE/RAS International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. SICE International Young Authors Award (SIYA-IROS2022)
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, and Tetsuya Ogata, "Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Prediction for Robot Pose Prediction," 48th Annual Conference of the Industrial Electronics Society IECON 2022 Conference, Brussels, Belgium, October 17-20, 2022
河田璃子, 伊藤洋, 昼間彪吾, 蔡賢博, 尾形哲也, 菅野重樹: 予測分散最小化による動的位置変化を伴う柔軟物体の把持動作生成, 日本機械学会ロボティクスメカトロニクス講演会, 1P1-N01, 山形ビッグウイング, 2025年6月5日
昼間彪吾, 伊藤洋, 尾形哲也：内的不確実性に基づく先読みが実現する適応的な動作学習, 第42回日本ロボット学会学術講演会, 1L3-05, 大阪工業大学, 2024年9月4日, 優秀研究・技術賞
昼間彪吾, 井上祐貴, 佐藤拓杜, 大橋洋輝：時間不変畳み込みそうによる不規則なCSIデータを用いたWi-Fi屋内即位, 第23回情報科学技術フォーラム, 広島工業大学, 2024年9月4日
昼間彪吾，森裕紀，尾形哲也：空間的注意と位置符号化を用いた小規模データセットによるロボット姿勢学習，日本ロボット学会第38回学術講演会, 2C1-06, オンライン, 2020年10月10日.
昼間彪吾，森裕紀，尾形哲也：位置情報を明示的に扱う空間的注意機構モデルによる物体位置・角度推定の汎化，情報処理学会第82回全国大会，6R-03，金沢工業大学，2020年3月7日．
次世代AIエージェント「Frontline Coordinator - Naivy」CEATEC Award 2025 イノベーション部門賞受賞 2025年10月9日
現場作業における心理的負担軽減と作業効率化を支援する次世代AIエージェント「Frontline Coordinator - Naivy」を開発 日立製作所 2025年7月3日
日立、現場データの収集技術や生成AIを活用した「現場拡張メタバース」を開発 日立製作所 2023年12月8日
"Object Picking Motion Learning of Robot Arms Based on Multi-view Information", International Symposium on Machine Intelligence for Future Society 2019, Tokyo, Japan, September 9, 2019
複数視点情報を用いたロボットアームによる物体把持動作学習, 第37回日本ロボット学会学術講演会, 早稲田大学, 2019年9月3~7日
April 2022 - Now
Researcher
Hitachi Ltd., Research & Development Group
April 2023 - Now
Ph. D student
Waseda University
Supervised by Prof. Tetsuya Ogata
April 2020 - March 2022
Master of Engineering
Waseda University
Supervised by Prof. Tetsuya Ogata
April 2016 - March 2020
Bachelor of Engineering
Waseda University
Supervised by Prof. Tetsuya Ogata
April 2013 - March 2016
Waseda University Senior High School
April 2002 - March 2013
International School of Amsterdam