| A study on vision-based mobile robot learning by deep Q-network H Sasaki, T Horiuchi, S Kato 2017 56th annual conference of the society of instrument and control …, 2017 | 72 | 2017 |
| Experimental study on behavior acquisition of mobile robot by deep Q-network H Sasaki, T Horiuchi, S Kato Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2017 | 10 | 2017 |
| Bayesian policy optimization for waste crane with garbage inhomogeneity H Sasaki, T Hirabayashi, K Kawabata, Y Onuki, T Matsubara IEEE Robotics and Automation Letters 5 (3), 4533-4540, 2020 | 9 | 2020 |
| Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation H Oh, H Sasaki, B Michael, T Matsubara Neural Networks 158, 42-58, 2023 | 7 | 2023 |
| Disturbance-injected robust imitation learning with task achievement H Tahara, H Sasaki, H Oh, B Michael, T Matsubara 2022 International Conference on Robotics and Automation (ICRA), 2466-2472, 2022 | 6 | 2022 |
| Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions H Sasaki, T Matsubara Neural Networks 143, 291-302, 2021 | 6 | 2021 |
| Multimodal policy search using overlapping mixtures of sparse Gaussian process prior H Sasaki, T Matsubara 2019 International Conference on Robotics and Automation (ICRA), 2433-2439, 2019 | 6 | 2019 |
| Bayesian disturbance injection: Robust imitation learning of flexible policies H Oh, H Sasaki, B Michael, T Matsubara 2021 IEEE International Conference on Robotics and Automation (ICRA), 8629-8635, 2021 | 5 | 2021 |
| A study on behavior acquisition of mobile robot by deep Q-network H Sasaki, T Horiuchi, S Kato ICIC express letters. Part B, Applications: an international journal of …, 2017 | 4 | 2017 |
| Multi-step motion learning by combining learning-from-demonstration and policy-search Y Mo, H Sasaki, T Matsubara, K Yamazaki Advanced Robotics 37 (9), 560-575, 2023 | 3 | 2023 |
| Gaussian process self-triggered policy search in weakly observable environments H Sasaki, T Hirabayashi, K Kawabata, T Matsubara 2022 International Conference on Robotics and Automation (ICRA), 5946-5952, 2022 | 2 | 2022 |
| Exploiting visual-outer shape for tactile-inner shape estimation of objects covered with soft materials T Miyamoto, H Sasaki, T Matsubara IEEE Robotics and Automation Letters 5 (4), 6278-6285, 2020 | 2 | 2020 |
| Disturbance injection under partial automation: Robust imitation learning for long-horizon tasks H Tahara, H Sasaki, H Oh, E Anarossi, T Matsubara IEEE Robotics and Automation Letters 8 (5), 2724-2731, 2023 | 1 | 2023 |
| 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 |
| Japanese Historical Character Recognition using Convolutional Neural Networks H SASAKI, T HORIUCHI, S KATO ICIC express letters. Part B, Applications: an international journal of …, 2015 | 1 | 2015 |
| Policy Optimization for Waste Crane Automation From Human Preferences Y Kwon, H Sasaki, T Hirabayashi, K Kawabata, T Matsubara IEEE Access 11, 126524-126541, 2023 | | 2023 |
| Learning Re-grabbing Policies based on Grabbed Garbage Weight Estimation using In-bucket Images for Waste Cranes H Sasaki, G Watanabe, T Hirabayashi, K Kawabata, T Matsubara IFAC-PapersOnLine 56 (2), 5021-5026, 2023 | | 2023 |
| Policy Optimization for Garbage Crane using Robust Bayesian Optimization H SASAKI, T HIRABAYASHI, K KAWABATA, Y ONUKI, T MATSUBARA 計測自動制御学会制御部門マルチシンポジウム (CD-ROM) 7, 2-4, 2020 | | 2020 |
Takamitsu MatsubaraProfessor, Nara Institute of Science and TechnologyVerified email at is.naist.jp
