| A human fetus development simulation: Self-organization of behaviors through tactile sensation H Mori, Y Kuniyoshi 2010 IEEE 9th International Conference on Development and Learning, 82-87, 2010 | 71 | 2010 |
| Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control H Ito, K Yamamoto, H Mori, T Ogata Science Robotics 7 (65), eaax8177, 2022 | 64 | 2022 |
| How to Select and Use Tools?: Active Perception of Target Objects Using Multimodal Deep Learning N Saito, T Ogata, S Funabashi, H Mori, S Sugano IEEE Robotics and Automation Letters 6 (2), 2517-2524, 2021 | 45 | 2021 |
| Put-in-Box Task Generated from Multiple Discrete Tasks by a Humanoid Robot Using Deep Learning K Kase, K Suzuki, PC Yang, H Mori, T Ogata 2018 IEEE International Conference on Robotics and Automation (ICRA), 6447-6452, 2018 | 37 | 2018 |
| Contingency perception and agency measure in visuo-motor spiking neural networks A Pitti, H Mori, S Kouzuma, Y Kuniyoshi IEEE Transactions on Autonomous Mental Development 1 (1), 86-97, 2009 | 34 | 2009 |
| In-air knotting of rope using dual-arm robot based on deep learning K Suzuki, M Kanamura, Y Suga, H Mori, T Ogata 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 32* | 2021 |
| Motion switching with sensory and instruction signals by designing dynamical systems using deep neural network K Suzuki, H Mori, T Ogata IEEE Robotics and Automation Letters 3 (4), 3481-3488, 2018 | 31 | 2018 |
| End-to-end learning method for self-driving cars with trajectory recovery using a path-following function T Onishi, T Motoyoshi, Y Suga, H Mori, T Ogata 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 29 | 2019 |
| Contact-rich manipulation of a flexible object based on deep predictive learning using vision and tactility H Ichiwara, H Ito, K Yamamoto, H Mori, T Ogata 2022 International Conference on Robotics and Automation (ICRA), 5375-5381, 2022 | 23 | 2022 |
| Compensation for Undefined Behaviors During Robot Task Execution by Switching Controllers Depending on Embedded Dynamics in RNN. K Suzuki, H Mori, T Ogata IEEE Robotics Automation Letters 6 (2), 3475-3482, 2021 | 21 | 2021 |
| Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation H Ichiwara, H Ito, K Yamamoto, H Mori, T Ogata arXiv preprint arXiv:2103.01598, 2021 | 19 | 2021 |
| Chaotic itinerancy within the coupled dynamics between a physical body and neural oscillator networks J Park, H Mori, Y Okuyama, M Asada PloS one 12 (8), e0182518, 2017 | 19 | 2017 |
| A Peg-in-hole Task Strategy for Holes in Concrete AY Yasutomi, H Mori, T Ogata 2021 IEEE International Conference on Robotics and Automation (ICRA), 2205-2211, 2021 | 17 | 2021 |
| Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions AY Yasutomi, H Ichiwara, H Ito, H Mori, T Ogata IEEE Robotics and Automation Letters 8 (3), 1834-1841, 2023 | 15 | 2023 |
| Embodying pre-trained word embeddings through robot actions M Toyoda, K Suzuki, H Mori, Y Hayashi, T Ogata IEEE Robotics and Automation Letters 6 (2), 4225-4232, 2021 | 13 | 2021 |
| Macroscopic cluster organizations change the complexity of neural activity J Park, K Ichinose, Y Kawai, J Suzuki, M Asada, H Mori Entropy 21 (2), 214, 2019 | 13 | 2019 |
| Throwing skill optimization through synchronization and desynchronization of degree of freedom Y Kawai, J Park, T Horii, Y Oshima, K Tanaka, H Mori, Y Nagai, T Takuma, ... RoboCup 2012: Robot Soccer World Cup XVI 16, 178-189, 2013 | 13 | 2013 |
| A cognitive developmental scenario of transitional motor primitives acquisition H Mori, Y Kuniyoshi 7th international Conference on Epigenetic Robotics, 93-100, 2007 | 13 | 2007 |
| Wiping 3D-objects using Deep Learning Model based on Image/Force/Joint Information N Saito, D Wang, T Ogata, H Mori, S Sugano 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 12 | 2020 |
| Learning multiple sensorimotor units to complete compound tasks using an rnn with multiple attractors K Kase, R Nakajo, H Mori, T Ogata 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 12 | 2019 |
Tetsuya OgataProfessor, Waseda University / Joint-appointed Fellow, AIST確認したメール アドレス: waseda.jp
