| Transformer-based deep imitation learning for dual-arm robot manipulation H Kim, Y Ohmura, Y Kuniyoshi 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 37 | 2021 |
| Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation H Kim, Y Ohmura, Y Kuniyoshi IEEE Robotics and Automation Letters 6 (2), 1630-1637, 2021 | 26 | 2021 |
| Using human gaze to improve robustness against irrelevant objects in robot manipulation tasks H Kim, Y Ohmura, Y Kuniyoshi IEEE Robotics and Automation Letters 5 (3), 4415-4422, 2020 | 18 | 2020 |
| Disentangled representations for sequence data using information bottleneck principle M Yamada, H Kim, K Miyoshi, H Yamakawa Asian Conference on Machine Learning, 2020 | 16* | 2020 |
| Memory-based gaze prediction in deep imitation learning for robot manipulation H Kim, Y Ohmura, Y Kuniyoshi 2022 International Conference on Robotics and Automation (ICRA), 2022 | 13 | 2022 |
| Training robots without robots: Deep imitation learning for master-to-robot policy transfer H Kim, Y Ohmura, A Nagakubo, Y Kuniyoshi IEEE Robotics and Automation Letters 8 (5), 2906-2913, 2023 | 12 | 2023 |
| Robot peels banana with goal-conditioned dual-action deep imitation learning H Kim, Y Ohmura, Y Kuniyoshi arXiv preprint arXiv:2203.09749, 2022 | 11 | 2022 |
| Reinforcement learning in latent action sequence space H Kim, M Yamada, K Miyoshi, H Yamakawa 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 8* | 2020 |
| Using human gaze in few-shot imitation learning for robot manipulation S Hamano, H Kim, Y Ohmura, Y Kuniyoshi 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
| Multi-task robot data for dual-arm fine manipulation H Kim, Y Ohmura, Y Kuniyoshi arXiv preprint arXiv:2401.07603, 2024 | | 2024 |
Yasuo KuniyoshiSchool of Information Science and Technology, The University of TokyoVerified email at isi.imi.i.u-tokyo.ac.jp
