Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment. - Shingo Murata; Saki Tomioka; Ryoichi Nakajo; Tatsuro Yamada; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (ICDL-EPIROB, 2015)

Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. - Ryoichi Nakajo; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (ICDL-EPIROB, 2015)

Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty. - Ryoichi Nakajo; Maasa Takahashi; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (ICONIP (4), 2016)

Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks. - Ryoichi Nakajo; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (Frontiers Neurorobotics, 2018)

Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors. - Kei Kase; Ryoichi Nakajo; Hiroki Mori; Tetsuya Ogata (IROS, 2019)

Comparison of Consolidation Methods for Predictive Learning of Time Series. - Ryoichi Nakajo; Tetsuya Ogata (IEA/AIE (1), 2021)

Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models. - Abdullah Mustafa; Ryo Hanai; Ixchel Georgina Ramirez-Alpizar; Floris Erich; Ryoichi Nakajo; Yukiyasu Domae; Tetsuya Ogata (CASE, 2024)

Automatic Segmentation of Continuous Time-Series Data Based on Prediction Error Using Deep Predictive Learning. - Suzuka Harada; Ryoichi Nakajo; Kei Kase; Tetsuya Ogata (SII, 2024)

Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States. - Hiroto Iino; Kei Kase; Ryoichi Nakajo; Naoya Chiba; Hiroki Mori; Tetsuya Ogata (SII, 2024)

Predicting human behavior using knowledge information in jig operation and robot collaborative action generation. - Mone Tamaki; Ryoichi Nakajo; Natsuki Yamanobe; Yukiyasu Domae; Tetsuya Ogata (SII, 2025)

Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers. - Tomohiro Motoda; Ryo Hanai; Ryoichi Nakajo; Masaki Murooka; Floris Erich; Yukiyasu Domae (CoRR, 2025)

ForceMapping: learning visual-force features from vision for soft objects manipulation. - Abdullah Mustafa; Ryo Hanai; Ixchel G. Ramirez; Floris Erich; Ryoichi Nakajo; Yukiyasu Domae; Tetsuya Ogata (Adv. Robotics, 2025)