年別の研究成果
年別の研究成果
フィンガープリント
Tetsuya Ogataが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
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過去5年の共同研究と上位研究分野
国/地域レベルにおける最近の外部共同研究。点をクリックして詳細を開くか、または
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Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs
Ando, T., Iino, H., Mori, H., Torishima, R., Takahashi, K., Yamaguchi, S., Okanohara, D. & Ogata, T., 2023, In: Advanced Robotics. 37, 10, p. 621-633 13 p.研究成果: Article › 査読
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Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
Yasutomi, A. Y., Ichiwara, H., Ito, H., Mori, H. & Ogata, T., 2023 3月 1, In: IEEE Robotics and Automation Letters. 8, 3, p. 1834-1841 8 p.研究成果: Article › 査読
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Buttoning Task with a Dual-Arm Robot: An Exploratory Study on a Marker-based Algorithmic Method and Marker-less Machine Learning Methods
Fujii, W., Suzuki, K., Ando, T., Tateishi, A., Mori, H. & Ogata, T., 2022, 2022 IEEE/SICE International Symposium on System Integration, SII 2022. Institute of Electrical and Electronics Engineers Inc., p. 682-689 8 p. (2022 IEEE/SICE International Symposium on System Integration, SII 2022).研究成果: Conference contribution
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Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility
Ichiwara, H., Ito, H., Yamamoto, K., Mori, H. & Ogata, T., 2022, 2022 IEEE International Conference on Robotics and Automation, ICRA 2022. Institute of Electrical and Electronics Engineers Inc., p. 5375-5381 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).研究成果: Conference contribution
3 被引用数 (Scopus) -
Curriculum-based Offline Network Training for Improvement of Peg-in-hole Task Performance for Holes in Concrete
Yasutomi, A. Y., Mori, H. & Ogata, T., 2022, 2022 IEEE/SICE International Symposium on System Integration, SII 2022. Institute of Electrical and Electronics Engineers Inc., p. 712-717 6 p. (2022 IEEE/SICE International Symposium on System Integration, SII 2022).研究成果: Conference contribution
3 被引用数 (Scopus)