学術論文 |
- "Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots," Robotics and Autonomous Systems, vol.181, no.104782, 1 Nov. 2024
- Yuki Kadokawa, Tomohito Kodera, Tsurumine Yoshihisa, Shinya Nishimura, Takamitsu Matsubara
- "Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization," Robotics and Autonomous Systems, vol.165, pp104425, Jul. 2023
- Yuki Kadokawa, Lingwei Zhu, Tsurumine Yoshihisa, Takamitsu Matsubara
- "Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation," Robotics and Autonomous Systems, vol.158, Dec. 2022
- Yoshihisa Tsurumine, Takamitsu Matsubara
- "Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation," IEEE Robotics Autom. Lett., vol.7, no.4, pp8964-8971, Oct. 2022
- Tomoya Yamanokuchi, Yuhwan Kwon, Eiji Uchibe, Jun Morimoto
 [ doi:10.1109/LRA.2022.3189156 ]
- "Physically Consistent Preferential Bayesian Optimization for Food Arrangement," IEEE Robotics Autom. Lett., vol.7, no.4, pp11863-11870, Sep. 2022
- Yuhwan Kwon, Takeshi Shimmura, Sadao Kawamura
- "Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA," IEEE Robotics and Automation Letters, vol.6, no.4, pp8545-8552, Oct. 2021
- Yuki Kadokawa
[ doi:10.1109/LRA.2021.3111416 ]
- "動的方策計画法を用いた敵対的模倣学習とその応用," 日本ロボット学会誌「ロボ學」, vol.36, no.6, pp507-510, 2020.7
- 松原 崇充, 鶴峯 義久
[ doi:10.7210/jrsj.38.507 ]
- "方策を滑らかに更新する深層強化学習と双腕ロボットによる布操作タスクへの適用," 人工知能学会誌「人工知能」, vol.35, no.1, pp47-53, 2020.1
- 松原 崇充, 鶴峯 義久
[ doi:10.11517/jjsai.35.1_47 ]
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受賞 |
- "日本ロボット学会 International Session Best Presentation Award Finalist," 日本ロボット学会, 5 Sep. 2024
- Ramos Alonso Fernández
- "SCI学生発表賞," システム制御情報学会研究発表講演会（SCI）, 2024.5.24
- 西浦 直哉, 田原 熙昂, 内藤 優星, 鶴峯 義久, 松原 崇充
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