研究業績

業績内容

国内学会・研究会

  1. 諏訪大樹, 松岡丈平, and 田胡和哉. “単位時間の異なる特徴量を組み合わせた個人識別法の提案.” 第 82 回全国大会講演論文集 2020.1 (2020): 227-228.
  2. 李寧遠, 松岡丈平, and 田胡和哉. “人物の認識と追跡を用いた待ち行列領域検出に関する研究.” 電子情報通信学会技術研究報告; 信学技報 120.269 (2020): 31-34.
  3. 張浩鋭, 松岡丈平, 加川敏規, and 服部聖彦, “Transmissive Spherical Rotating LED POV Display with Wireless Power Supply for Board Games.” 情報処理学会第 84 回全国大会 2 (2022): 06.
  4. 厳帥, 田胡和哉, and 松岡丈平. “ディープラーニングに基づく諷刺識別研究.” 第 84 回全国大会講演論文集 2022.1 (2022): 741-742.　
  5. 高谷悠太郎，服部聖彦，and 松岡丈平, “児童の学習状況把握を目的とした手書きデータに基づく教諭向けICTツール”, 電子情報通信学会 教育工学研究会（ET）122.212 (2022).
  6. 三田渉, 松岡丈平, and 田胡和哉. “SLAM 出力に対する環境認識情報付加機能の提案.” 研究報告オーディオビジュアル複合情報処理 (AVM) 2023.6 (2023): 1-4.
  7. 田胡 和哉，舘野 ゆらら，三田 渉，and 松岡 丈平. “高位行動プランニングのための地図アーキテクチャの設計と実装.”, 第41回日本ロボット学会学術講演会（RSJ2023）, 41(2023).
  8. 羅昱晟, and 松岡丈平. “人数計測を目的とした非線形 Queue-flow 検出法の提案.” (2023): IEICE-SIS.
  9. 竹中陽登，原田智広，三浦幸也，服部聖彦，and 松岡丈平. “深層強化学習を用いた大きさの異なる車両間の協調的な自動運転制御”，計測自動制御学会システム・情報部門学術講演会 2023，(2023).
  10. 今野景介, and 松岡丈平. “物体検出向け学習データセット作成支援システムの提案と実装”,  (2023): IEICE-SIS.

国際学会

  1. Johei Matsuoka. “Processing Time Reduction for Non-local Median Filter.” 2021 20th International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2021.
  2. Tomohiro Harada, Johei Matsuoka, and Kiyohiko Hattori, “Emergent Rule Discovery for Automated Driving Using Multi-Agent Simulation,” the Joint Symposium: 27th International Symposium on Artificial Life and Robotics, 7th International Symposium on BioComplexity, and 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2022), pp. 1804-1809, 2022.
  3. Ebihara, Kohta, Johei Matsuoka, and Kiyohiko Hattori. “Programming in the Metaverse Era: VR Empowering the Educational Effects of Tangibles.” ICAT-EGVE (Posters and Demos). 2022.
  4. Keita Tashiro, Jyouhei Matsuoka, and Kiyohiko Hattori. “Extending Behavior Dimensions with Curriculum Learning for Use in Astronaut Support Robots”, 6th International Symposium on Swarm Behavior and Bio-Inspired Robotics, pp.1535-1539, 2023.
  5. Ryuma Saotome, Kiyohiko Hattori, Tomohiro Harada, Johei Matsuoka, “Proposal of Signal-less Intersection Control with Dynamic Obstacles Optimized by Using Genetic Algorithm — A Concept of Virtual Walls —,” the Joint Symposium: 28th International Symposium on Artificial Life and Robotics, 8th International Symposium on BioComplexity, and 6th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2023), 2023.
  6. Reo Nakaya, Tomohiro Harada, Yukiya Miura, Kiyohiko Hattori, and Johei Matsuoka. “Emergence of Cooperative Automated Driving Control at Roundabouts Using Deep Reinforcement Learning.” 2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE). IEEE, 2023.
  7. Mita, Wataru, Johei Matsuoka, and Kazuya Tago. “A Vectorized Map Library as a Platform for Higher Layer Planning for Mobile Robots.” IEICE Proceedings Series 77.RS4-1 (2023).

論文

  1. （レター）Ningyuan, Li, Matsuoka Johei, and Tago Kazuya. “Automatic Counting of Waiting Person Using Queue Area Detection of People Based on Machine Learning.” 革新的コンピューティング・情報・制御に関する速報-B: 応用 12.07 (2021): 603.
  2. Shibata, Chihiro, et al. “Automated Damage Detection of (C/C)/Si/SiC Composite Using Vibration Modes with Deep Neural Networks.” Journal of Composites Science 5.11 (2021): 301.
  3. 松岡丈平. “高発生確率インパルス雑音除去を目的とした Robust Non-local Median Filter のカラー拡張.” 情報処理学会論文誌 63.3 (2022): 808-816.
  4. Harada, Tomohiro, Johei Matsuoka, and Kiyohiko Hattori. “Behavior analysis of emergent rule discovery for cooperative automated driving using deep reinforcement learning.” Artificial Life and Robotics 28.1 (2023): 31-42.
  5. Kenji Matsuda, Tenta Suzuki, Tomohiro Harada, Johei Matsuoka, Mao Tobisawa, Jyunya Hoshino, Yuuki Itoh, Kaito Kumagae, Toshinori Kagawa, and Kiyohiko Hattori. ” Hierarchical Reward Model of Deep Reinforcement Learning for Enhancing Cooperative Behavior in Automated Driving.” Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 2023. (accepted)
  6. Jyunya Hoshino, Yuuki Itoh, Ryuma Saotome, Tomohiro Harada, Kenji Matsuda, Tenta Suzuki, Mao Tobisawa, Kaito Kumagae, Johei Matsuoka, Toshinori Kagawa, Kiyohiko Hattori, “Interchange Flow Control with Dynamic Obstacles Optimized Using Genetic Algorithms – A Concept of Virtual Walls -,” Artificial Life and Robotics, 2024. (accepted)
  7. 松岡 丈平，三田 渉，and 田胡 和哉, “高次行動プランニング用の行動空間データ生成機構の実装”, 日本ロボット学会，投稿済み
  8. T Suzuki, K. Matsuda, K Kumagae, M Tobisawa, J Hoshino, Y Itoh, T Harada, J Matsuoka, T Kagawa, K Hattori, “Acquisition of Cooperative Control of Multiple Vehicles Through Reinforcement Learning Utilizing Vehicle-to-Vehicle Communication and Map Information”, Journal of Robotics and Mechatronics, Vol.36 No.3, pp. 643-657, 2024
  9. Y. Itoh，J. Hoshino, Ｔ. Suzuki，K. Matsuda，K. Kumagae，M. Tobisawa，T. Harada，J. Matsuoka，T. Kagawa，and K. Hattori，”Automatic Route Design by Stepwise Subdivision of Virtual Walls -Reduce Route Length and Speeds Up Execution Time-“，Journal of Robotics and Mechatronics，Vol.36，No.3，pp．628-641，2024．

その他

  1. 田胡 和哉, 三田 渉, and 松岡 丈平. ” Behavior Treeツールと地図ライブラリによるアプリケーション開発環境の提案”, ROSCon JP 2023, (2023)
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