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J-GLOBAL ID：202101010604347288   Update date: Feb. 03, 2025

Tsurumine Yoshihisa

鶴峯 義久 | Tsurumine Yoshihisa
Affiliation and department：
Nara Institute of Science and Technology

About Nara Institute of Science and Technology


Research field  (1)： Intelligent robotics
Research keywords  (3)： ロボティクス ,  深層学習 ,  強化学習
Research theme for competitive and other funds  (2)：
  • 2023 - 2026 階層抽象度ギャップ削減による多様なタスクに適用可能な階層方策構造
  • 2020 - 2020 多様なタスクに適用可能なサンプル効率の良い深層強化学習と実ロボットへの応用
Papers (17)：
  • Ing-Sheng Bernard-Tiong, Yoshihisa Tsurumine, Ryosuke Sota, Kazuki Shibata, Takamitsu Matsubara. Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation. IEEE/SICE International Symposium on System Integration (SII2025). 2025
  • Takuya Kiyokawa, Eiki Nagata, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara. Self-Supervised Learning of Grasping Arbitrary Objects On-the-Move. 2025
  • David Gutierrez-Moreno, Simon Armleder, Yuhwan Kwon, Takumi Hachimine, Yoshihisa Tsurumine, Takamitsu Matsubara, Gordon Cheng. Diffusion Model and RRT*-Based Methods for Reflected Mass Optimization in Motion Planning. IEEE/SICE International Symposium on System Integration (SII2025). 2025
  • Yuki Kadokawa, Tomohito Kodera, Yoshihisa Tsurumine, Shinya Nishimura, Takamitsu Matsubara. Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots. Robotics and Autonomous Systems. 2024. 181. 104782-104782
  • Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara. Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Robotics and Autonomous Systems. 2023
ｍore...
MISC (21)：
  • Ing Sheng Bernard Tiong, Yoshihisa Tsurumine, Kazuki Shibata, Takamitsu Matsubara. Cooperative Grasping and Transportation Using Multi-agent Reinforcement Learning With Ternary Force Representation. 2024
  • Alonso Ramos Fernandez, Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara. Deep Reinforcement Learning with FPNN-toSNN Policy Distillation for Neurochip-driven Robots. 2024
  • 長田瑛綺, 清川拓哉, 鶴峯義久, 権裕煥, 松原崇充. 視覚情報に基づく移動把持の自己教師あり学習. ロボティクス・メカトロニクス講演会2024 (ROBOMECH2024). 2024
  • 佐藤誠人, 権裕煥, 鶴峯義久, 松原崇充. 長期的な精密物体操作タスクのための残差強化学習を用いたTask And Motion Planning. 第68回システム制御情報学会研究発表講演会 (SCI'24). 2024
  • 鶴峯 義久, 松原 崇充. モバイルマニピュレータの方策学習のための並列シミュレーション環境の開発. 日本ロボット学会学術講演会 (RSJ). 2023
ｍore...
Education (2)：
  • 2018 - 2020 Nara Institute of Science and Technology
  • 2016 - 2018 Nara Institute of Science and Technology
Professional career (1)：
  • 博士(工学) (奈良先端科学技術大学院大学)
Work history (3)：
  • 2022/04 - 現在 Nara Institute of Science and Technology
  • 2021/01 - 2022/03 Nara Institute of Science and Technology
  • 2020/04 - 2020/12 日本学術振興会 特別研究員(DC2)
Awards (1)：
  • 2021/12 - 計測自動制御学会SI部門 SI2021優秀講演賞
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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