Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation Y Tsurumine, Y Cui, E Uchibe, T Matsubara Robotics and Autonomous Systems 112, 72-83, 2019 | 181 | 2019 |
Generative adversarial imitation learning with deep p-network for robotic cloth manipulation Y Tsurumine, Y Cui, K Yamazaki, T Matsubara 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019 | 20 | 2019 |
Deep dynamic policy programming for robot control with raw images Y Tsurumine, Y Cui, E Uchibe, T Matsubara 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 16 | 2017 |
Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation Y Tsurumine, T Matsubara Robotics and Autonomous Systems 158, 104264, 2022 | 11 | 2022 |
Learning food-arrangement policies from raw images with generative adversarial imitation learning J Matsuoka, Y Tsurumine, Y Kwon, T Matsubara, T Shimmura, ... 2020 17th International Conference on Ubiquitous Robots (UR), 93-98, 2020 | 9 | 2020 |
Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization Y Kadokawa, L Zhu, Y Tsurumine, T Matsubara Robotics and Autonomous Systems 165, 104425, 2023 | 8 | 2023 |
Binarized P-network: deep reinforcement learning of robot control from raw images on FPGA Y Kadokawa, Y Tsurumine, T Matsubara IEEE Robotics and Automation Letters 6 (4), 8545-8552, 2021 | 5 | 2021 |
Effective cloth folding trajectories in simulation with only two parameters VL De Gusseme, F Wyffels Frontiers in Neurorobotics 16, 989702, 2022 | 3 | 2022 |
Randomized-to-canonical model predictive control for real-world visual robotic manipulation T Yamanokuchi, Y Kwon, Y Tsurumine, E Uchibe, J Morimoto, ... IEEE Robotics and Automation Letters 7 (4), 8964-8971, 2022 | 2 | 2022 |
Variationally autoencoded dynamic policy programming for robotic cloth manipulation planning based on raw images Y Tsurumine, T Matsubara 2022 IEEE/SICE International Symposium on System Integration (SII), 416-421, 2022 | 2 | 2022 |
Physically consistent preferential Bayesian optimization for food arrangement Y Kwon, Y Tsurumine, T Shimmura, S Kawamura, T Matsubara IEEE Robotics and Automation Letters 7 (4), 11863-11870, 2022 | 1 | 2022 |
Combining model predictive path integral with Kalman variational auto-encoder for robot control from raw images Y Kwon, T Kaneko, Y Tsurumine, H Sasaki, K Motonaka, S Miyoshi, ... 2020 IEEE/SICE International Symposium on System Integration (SII), 271-276, 2020 | 1 | 2020 |
Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots Y Kadokawa, T Kodera, Y Tsurumine, S Nishimura, T Matsubara Robotics and Autonomous Systems, 104782, 2024 | | 2024 |
Edge-server Deep Reinforcement Learning of Quantized Policy for Neurochip Implimentation T KODERA, Y KADOKAWA, Y TSURUMINE, SYA NISHIMURA, ... 計測自動制御学会制御部門マルチシンポジウム (CD-ROM) 10, 2-6, 2023 | | 2023 |
Deep Reinforcement Learning with Smooth Policy Update for Robotic Cloth Manipulation Y Tsurumine Nara Institute of Science and Technology, 2020 | | 2020 |
「人間と相互理解できる次世代人工知能技術: 第 2 部 『ロボット技術編』」 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 T MATSUBARA, Y TSURUMINE 人工知能 35 (1), 47-53, 2020 | | 2020 |
FPGA を用いた実時間ロボット制御のための深層強化学習手法 Binary P-Network の提案 Y KADOKAWA, Y TSURUMINE, T MATSUBARA 日本ロボット学会学術講演会予稿集 (CD-ROM) 38, 3-4, 2020 | | 2020 |