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