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ORCIDYoshihisa Tsurumine
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Journal Articles
- 2024
[j7]Yuki Kadokawa
, Tomohito Kodera, Yoshihisa Tsurumine, Shinya Nishimura, Takamitsu Matsubara:
Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots. Robotics Auton. Syst. 181: 104782 (2024)- 2023
- [j6]Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara:
Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Robotics Auton. Syst. 165: 104425 (2023) - 2022
- [j5]Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara:
Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation. IEEE Robotics Autom. Lett. 7(4): 8964-8971 (2022) - [j4]Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara:
Physically Consistent Preferential Bayesian Optimization for Food Arrangement. IEEE Robotics Autom. Lett. 7(4): 11863-11870 (2022) - [j3]Yoshihisa Tsurumine, Takamitsu Matsubara:
Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation. Robotics Auton. Syst. 158: 104264 (2022) - 2021
- [j2]Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara:
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. IEEE Robotics Autom. Lett. 6(4): 8545-8552 (2021) - 2019
- [j1]Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara:
Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. 112: 72-83 (2019)
Conference and Workshop Papers
- 2022
- [c6]Yoshihisa Tsurumine, Takamitsu Matsubara:
Variationally Autoencoded Dynamic Policy Programming for Robotic Cloth Manipulation Planning based on Raw Images. SII 2022: 416-421 - 2020
- [c5]Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara:
Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images. SII 2020: 271-276 - [c4]Junki Matsuoka, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara, Takeshi Shimmura, Sadao Kawamura:
Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning. UR 2020: 93-98 - 2019
- [c3]Takumi Kaneko, Yoshihisa Tsurumine, James Poon, Yukio Onuki, Yingda Dai, Kaoru Kawabata, Takamitsu Matsubara:
Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data. CASE 2019: 873-878 - [c2]Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara:
Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation. Humanoids 2019: 274-280 - 2017
- [c1]Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara:
Deep dynamic policy programming for robot control with raw images. IROS 2017: 1545-1550
Informal and Other Publications
- 2024
- [i6]Yuki Kadokawa, Tomohito Kodera, Yoshihisa Tsurumine, Shinya Nishimura, Takamitsu Matsubara:
Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots. CoRR abs/2408.13018 (2024) - 2022
- [i5]Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara:
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation. CoRR abs/2207.01840 (2022) - [i4]Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara:
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR abs/2207.14561 (2022) - [i3]Yoshihisa Tsurumine, Takamitsu Matsubara:
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation. CoRR abs/2209.10149 (2022) - [i2]Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara:
Physically Consistent Preferential Bayesian Optimization for Food Arrangement. CoRR abs/2209.10602 (2022) - 2021
- [i1]Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara:
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. CoRR abs/2109.04966 (2021)
Coauthor Index
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