学術雑誌（オンライン速報版）

  1. 楊光，王璽尋，原田航季，金城良太，奥宏史，有泉亮，松野文俊：モジュラーロボットのモジュール間の自律結合に関する研究 ―Isaac Sim環境における自律結合手法の開発と検証―，日本ロボット学会誌， https://www.rsj.or.jp/pub/jrsj/advpub/250604-05.html

学術雑誌

  1. S. Sugiura, R. Ariizumi, T. Asai, and S. Azuma: Necessary and Sufficient Reservoir Condition for Universal Reservoir Computing, Mathematics, vol. 13, no. 21, 3440 (2025)https://doi.org/10.3390/math13213440
  2. K. Kikuzumi, R. Ariizumi, and F. Matsuno: Automatic Robot Design for Fault-Tolerant Robots, Scientific Reports, vol. 15, 29642 (2025). https://doi.org/10.1038/s41598-025-12750-9
  3. H. Sago, R. Ariizumi, T. Asai, S. Azuma: Multi-objective Path Integral Policy Improvement for Learning Robotic Motion, Artificial Life and Robotics (2025). https://doi.org/10.1007/s10015-025-01027-z
  4. 山川雅文，浅井徹，有泉亮，東俊一：グラフラプラシアンで与えられる線形システムにおける初期状態とパラメータのsensitivity identifiability のネットワーク構造に基づく解析，計測自動制御学会論文集, vol. 61, no. 4, pp. 254-265 (2025). https://doi.org/10.9746/sicetr.61.254
  5. 堺光徳，浅井徹，有泉亮，東俊一：周期的線形時変システムに対する周期時変状態フィードバック安定化制御器のLMIに基づく設計手法 ，計測自動制御学会論文集, vol. 61, no. 4, pp. 229-239 (2025). https://doi.org/10.9746/sicetr.61.229
  6. F. Xu, S. Azuma, K. Kobayashi, N. Yamaguchi, R. Ariizumi, and T. Asai: Default Detection in Demand Response Based on Block-Sparse Structure, International Journal of Electrical Power and Energy Systems, vol. 162 (2024). https://doi.org/10.1016/j.ijepes.2024.110304
  7. R. Ariizumi, H. Mizuno, H. Sasaki, T. Asai, S. Azuma, and M. Tanaka: Motion Design of A Snake Robot to Move between Two Adjacent Walls, Journal of Robotics and Mechatronics, vol. 36, no. 6, pp. 1357-1368 (2024). https://doi.org/10.20965/jrm.2024.p1357
  8. K. Harada, R. Ariizumi, T. Asai, and S. Azuma: The Dynamical Model and the Slithering Controller of Continuous Snake-like Robot on Smooth Surface, International Journal of Control, Automation and Systems, vol. 22, pp. 3133-3146(2024). https://doi.org/10.1007/s12555-023-0424-5
  9. K. Tsuji, S. Azuma, I. Banno, R. Ariizumi, T. Asai, and J. Imura: A Small-data Solution to Data-driven Lyapunov Equations: Data Reduction from O(n^2) to O(n), IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,Vol. E107.A, Issue 5 Pages 806-812 (2024) https://doi.org/10.1587/transfun.2023MAP0010
  10. H. Nakano, R. Ariizumi, T. Asai, and S. Azuma: Automatic Temperature Parameter Tuning for Reinforcement Learning Using Path Integral Policy Improvement, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, issue 12, pp. 18200-18211(2023) https://doi.org/10.1109/TNNLS.2023.3312857
  11. S. Sugiura, R. Ariizumi, T. Asai and S. Azuma: Non-essentiality of Reservoir’s Fading Memory for Universality of Reservoir Computing, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, issue 11, pp. 16801-16815(2023) https://doi.org/10.1109/TNNLS.2023.3298013
  12. R. Koike, R. Ariizumi, and F. Matsuno: Simultaneous Optimization of Discrete and Continuous Parameters Defining a Robot Morphology and Controller, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, issue 10, pp. 13816-13829(2023) https://doi.org/10.1109/TNNLS.2023.3272068
  13. R. Ariizumi, K. Sakakibara, T. Asai, and S. Azuma: Path-Following Control of a Snake Robot with Multiple Passive Joints, International Journal of Control, Automation and Systems, vol. 22, no. 8 (2024) https://doi.org/10.1007/s12555-023-0410-y
  14. T. Iwata, S. Azuma, R. Ariizumi, and T. Asai: Data Informativity for Distributed Positive Stabilization, IEEE Control Systems Letters, vol. 8, pp. 826-831 (2024) https://doi.org/10.1109/LCSYS.2024.3404219
  15. 藤島泰郎，東俊一，有泉亮，浅井 徹：2 重積分系型ビークル群のためのブロードキャスト制御，システム制御情報学会誌, vol. 37, no. 5, pp. 138-148 (2024)
  16. S. Sugiura, R. Ariizumi, M. Tanemura, T. Asai, and S. Azuma: Data-driven Estimation of the Algebraic Riccati Equation for the Discrete-Time Inverse Linear Quadratic Regulator Problem, Discover Applied Sciences, vol.6, https://doi.org/10.1007/s42452-024-05931-0
  17. S. Azuma, D. Takakura, R. Ariizumi, and T. Asai: Networks of Classical Conditioning Gates and Their Learning, New Generation Computing, vol. 42, pp. 203-216 (2024) https://doi.org/10.1007/s00354-024-00256-3
  18. S. Sugiura, R. Ariizumi, T. Asai, and S. Azuma: Existence of Reservoir with Finite-Dimensional Output for Universal Reservoir Computing, Scientific Reports, vol. 14, 8448 (2024) https://doi.org/10.1038/s41598-024-56742-7
  19. M. Yamakawa, T. Asai, R. Ariizumi, and S. Azuma: Sufficient condition for locally unidentifiable edge weights from any single state trajectory in networked linear systems, SICE Journal of Control, Measurement, and System Integration, vol. 17, issue 1, pp. 80-86 (2024) https://doi.org/10.1080/18824889.2024.2315641
  20. T. Asai, X. Chen, R. Ariizumi, and S. Azuma: The DXHS Algorithm Is Equivalent to a Passive Internal Model for Sinusoidal Signals, SICE Journal of Control, Measurement, and System Integration, vol. 16, issue 1, pp.382-386 (2023) https://doi.org/10.1080/18824889.2023.2281018
  21. T. Iwata, S. Azuma, R. Ariizumi, T. Asai, and J. Imura: Equilibrium Controllability Analysis and Input Design, SICE Journal of Control, Measurement, and System Integration, vol. 16, issue 1 (2023) https://doi.org/10.1080/18824889.2023.2268815
  22. 松高亜樹，東俊一，有泉亮，浅井徹：未来地図を利用した搬送ロボットの制御―グラフを利用した経路生成―，システム制御情報学会誌，vol. 37, no. 2, pp. 55-64 (2024)
  23. 近藤暖浩，有泉亮，浅井徹，東俊一：ポートハミルトン形式によるヘビ型ロボットの関節角経路追従制御に関するロバスト性解析，システム制御情報学会誌，vol. 37, no. 2, pp. 35-44 (2024)
  24. F. Xu, S. Azuma, R. Ariizumi, and T. Asai: Performance Limitation of Group Testing in Network Failure Detection, IEEE Access, vol. 11, pp. 102852-102859 (2023) https://doi.org/10.1109/ACCESS.2023.3315745
  25. I. Banno, S. Azuma, R. Ariizumi, T. Asai, and J. Imura: Data Informativity for Lyapunov Equations, IEEE Access, Vol. 7, pp. 2365-2370 (2023) https://doi.org/10.1109/LCSYS.2023.3286414

国際会議

  1. Xixun Wang, Tomohiro Shimomura, Ryo Ariizumi and Fumitoshi Matsuno. Simultaneous optimization of structure and control of modular robots on rough terrain considering leg and wheel modules, The 9th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2025 (SWARM2025), Göttingen, Sept. 23-25 (2025)
  2. Ryuusei Nishii, Kenichiro Satonaka, Ryota Kinjo, Hiroshi Oku, Yuki Tanigaki, Tomohiro Shimomura, Guang Yang, Xixun Wang, Fumitoshi Matsuno and Ryo Ariizumi. Isomorphism Determination Method for Modular Robots Using Graph Neural Networks, The 9th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2025 (SWARM2025), Göttingen, Sept. 23-25 (2025)
  3. Fumitoshi Matsuno, Xixun Wang, Guang Yang, Kiona Hosotani, Ryohei Michikawa, Tetsushi Kamegawa, Yuya Shimizu, Motoyasu Tanaka, Ching Wen Chin, Ryusuke Fujisawa, Ryo Ariizumi, Koki Harada, Tomohiro Hayakawa, Yuichi Ambe, Akio Noda, Hiroshi Oku, Takashi Takuma, Ryota Kinjo, Yuki Tanigaki, Noritaka Sato, and Kotaro Kanazawa. Self-Reconfigurable Modular Robots for Lunar Exploration and Base Construction—Overview and Interim Results of a Research Theme within the Moonshot Project, The 9th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2025 (SWARM2025), Göttingen, Sept. 23-25 (2025)
  4. Kenichiro Satonaka, Ryusei Nishii, Ryota Kinjo, Seiichi Ohashi, Tomoya Negoro, Yuki Takagi, Hiroshi Oku, Yuki Tanigaki, Koki Harada, Ryo Ariizumi, Tomohiro Simomoura, Guang Yang, Xixun Wang, and Fumitoshi Matsuno. Optimization of Autonomous Transformation Paths in Modular Robots via Structure Graph Encoding and Isomorphism Determination, The 9th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2025 (SWARM2025), Göttingen, Sept. 23-25 (2025)
  5. Koki Harada, Ryo Ariizumi, Xixun Wang, Ryota Kinjo and Fumitoshi Matsuno. Graph Grammar Definition Language GGDL and its application, The 9th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2025 (SWARM2025), Göttingen, Sept. 23-25 (2025)
  6. Shuntaro Takekuma, Shun-Ichi Azuma, Ryo Ariizumi and Toru Asai. Extremum Seeking Control of Hopping Rover, The 8th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2024 (SWARM2024 in September), Kyoto, Sept. 17-20, pp. 217-220 (2024)
  7. Takato Ishii, Ryo Ariizumi and Fumitoshi Matsuno. Simultaneous Optimization of Discrete and Continuous Parameters Defining a Robot Controller, The 8th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2024 (SWARM2024 in September), Kyoto, Sept. 17-20, pp. 75-81 (2024)
  8. R. Ariizumi, H. Sago, T. Asai, and S. Azuma: Multi-objective Reinforcement Learning with Path Integral Policy Improvement , SICE Annual Conference, Mie, Sept. 6-9, pp. 1418-1423 (2023)
  9. S. Sugiura, R. Ariizumi, T. Asai, and S. Azuma: Data-driven Estimation of Algebraic Riccati Equation for Inverse Linear Quadratic Regulator Problem, SICE Annual Conference, Mie, Sept. 6-9, pp. 1046-1051 (2023)
  10. M. Yamakawa, T. Asai, R. Ariizumi, and S. Azuma: Local Unidentifiability of Edge Weights for Linear Systems with Graph Laplacian, SICE Annual Conference, Mie, Sept. 6-9, pp. 500-503 (2023)
  11. I. Banno, S. Azuma, R. Ariizumi, T. Asai, and J. Imura: Data-driven Sensitivity Analysis of Controllability Measure for Network Systems, IEEE Conference on Decision and Control (CDC2022), Cancun, Mexico, Dec. 6-9 (2023)

国内会議

  1. 佐々木拓樹，有泉亮，田中基康：隣接する壁の間を移動可能なヘビ型ロボットモーションのモデル化，ロボティクス・メカトロニクス講演会2025，2P1-P08，山形，6/4-7, 2025
  2. ⼭﨑和真，有泉亮：物理情報に基づく深層学習を⽤いたマニピュレータのシステム同定と制御，第69回システム制御情報学会研究発表会，33B-7，神戸，5/25-27, 2025
  3. 佐郷隼，有泉亮，浅井徹，東俊一：ポート・ハミルトン・ニューラルネットワークを⽤いたロボットの動作学習，第69回システム制御情報学会研究発表会，33B-2，神戸，5/25-27, 2025
  4. ⻄井隆聖，⾥中健⼀郎，⾦城良太，奥宏史，⾕垣勇輝，有泉亮，下村知広，楊光，王璽尋，松野⽂俊：モジュラーロボット変形のためのGNNを活⽤したAI開発の検討，第69回システム制御情報学会研究発表会，14A-2，神戸，5/25-27, 2025
  5. 里中健⼀郎，⻄井隆聖，⾦城良太，髙⽊優希，奥宏史，⾕垣優希，原⽥航季，有泉亮，下村知広，楊光，王璽尋，松野⽂俊：モジュラーロボットを⽂字列化した同型判定⼿法と⾃律遷移AIの開発，第69回システム制御情報学会研究発表会，14A-1，神戸，5/25-27, 2025
  6. 寺岡佳孝，種村昌也，千田有一，有泉亮：Human-In-The-Loop System におけるばねマス系を対象とした人間の価値観推定の検証，第12回計測自動制御学会制御部門マルチシンポジウム，3M7-1，大阪，3/2-5, 2025
  7. 下村知広，王璽尋，有泉亮，松野文俊：不整地を考慮した脚ロボットの構造と制御の同時最適化，第68回システム制御情報学会研究発表講演会，32J-2，大阪，5/24-26, 2024
  8. 原田航季，有泉亮，王璽尋，金城良太，松野文俊：グラフ文法定義用言語GGDLと応用，第68回システム制御情報学会研究発表講演会，32J-3，大阪，5/24-26, 2024
  9. 里中健一郎，金城良太，髙木優希，大橋隼人，奥宏史，原田航季，杉浦秀平，有泉亮，下村知広，楊光，王璽尋，松野文俊：モジュラーロボットの自律遷移AIの開発，第68回システム制御情報学会研究発表講演会，32J-5，大阪，5/24-26, 2024
  10. 岩田拓海，東俊一，有泉亮，浅井徹：結合非負システムのデータ駆動型ネットワーク設計，第11回計測自動制御学会制御部門マルチシンポジウム，2M8-5，広島，3/17-20，2024
  11. 熱田和輝，浅井徹，有泉亮，東俊一：一組の時間領域データに基づくナイキスト安定判別法—閉ループ系の不安定極不在仮説の検定—，第11回計測自動制御学会制御部門マルチシンポジウム，2M8-6，広島，3/17-20，2024
  12. 黒崎圭，浅井徹，深谷浩一，小泉利洋，丹山翔太，有泉亮，東俊一：ABS 制御のための最大制動力点からの偏差検出—ブレーキ操作量が変化する場合—，第11回計測自動制御学会制御部門マルチシンポジウム，2A2-1，広島，3/17-20，2024
  13. 寺岡佳孝，種村昌也，千田有一，有泉亮：Human-In-The-Loop System における人間の価値観推定を用いた最適な線形システムの設計，第11回計測自動制御学会制御部門マルチシンポジウム，1M3-5，広島，3/17-20，2024
  14. 佐郷隼，有泉亮，浅井徹，東俊一：経路積分に基づく直接方策改善法を用いた多目的強化学習，第67回システム制御情報学会研究発表講演会，京都，5月17日～19日，335-4 (2023)
  15. 井村陸人，東俊一，坂野幾海，有泉亮，浅井徹：フードデリバリーサービスの動的モデル化と配達員の報酬最適化，第67回システム制御情報学会研究発表講演会，京都，5月17日～19日，334-3 (2023)