Hyogo Hiruma

Master of EngineeringResearcher at Hitachi Ltd.

I am a researcher of intelligent robotics and computer vision. 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.

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Research Projects

Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use

Hyogo Hiruma, Hiroshi Ito, Hiroki Mori and Tetsuya Ogata
IEEE Robotics and Automation Letters (RA-L), July 2022IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), October 2022

SICE International Young Authors Award (SIYA-IROS2022)

Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose Prediction

Hyogo Hiruma, Hiroki Mori, Hiroshi Ito and Tetsuya Ogata
48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), October 2022

Publications

Journal


  1. 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

International Conference

  1. 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)

  2. 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

Domestic Conference

  1. 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.

  2. 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．

Exhibition

  1. "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

  2. 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

Profile

Affilliations

April 2022 - Now

Researcher

Hitachi Ltd., Research & Development Group

Education

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