Ryoichi Nakajo

17 papers A 1Journal 6Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Learning Dynamic Non-Prehensile Object Reorientation via Reinforcement Learning. SII Abdullah Mustafa, Ryo Hanai, Ixchel Georgina Ramirez-Alpizar, Floris Erich, Ryoichi Nakajo, Yukiyasu Domae, Tetsuya Ogata
2025	J	`jnl`	ForceMapping: learning visual-force features from vision for soft objects manipulation. Adv. Robotics Abdullah Mustafa, Ryo Hanai, Ixchel G. Ramirez, Floris Erich, Ryoichi Nakajo, Yukiyasu Domae, Tetsuya Ogata
2025	—	`conf`	Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers. CASE Tomohiro Motoda, Ryo Hanai, Ryoichi Nakajo, Masaki Murooka, Floris Erich, Yukiyasu Domae
2025	J	`jnl`	Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers. CoRR Tomohiro Motoda, Ryo Hanai, Ryoichi Nakajo, Masaki Murooka, Floris Erich, Yukiyasu Domae
2025	—	`conf`	Predicting human behavior using knowledge information in jig operation and robot collaborative action generation. SII Mone Tamaki, Ryoichi Nakajo, Natsuki Yamanobe, Yukiyasu Domae, Tetsuya Ogata
2025	J	`jnl`	RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulated Environments. CoRR Masaki Murooka, Tomohiro Motoda, Ryoichi Nakajo, Hanbit Oh, Koshi Makihara, Keisuke Shirai, Yukiyasu Domae
2025	J	`jnl`	Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision. CoRR Hanbit Oh, Masaki Murooka, Tomohiro Motoda, Ryoichi Nakajo, Yukiyasu Domae
2024	—	`conf`	Automatic Segmentation of Continuous Time-Series Data Based on Prediction Error Using Deep Predictive Learning. SII Suzuka Harada, Ryoichi Nakajo, Kei Kase, Tetsuya Ogata
2024	—	`conf`	Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States. SII Hiroto Iino, Kei Kase, Ryoichi Nakajo, Naoya Chiba, Hiroki Mori, Tetsuya Ogata
2024	—	`conf`	Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models. CASE Abdullah Mustafa, Ryo Hanai, Ixchel Georgina Ramirez-Alpizar, Floris Erich, Ryoichi Nakajo, Yukiyasu Domae, Tetsuya Ogata
2024	J	`jnl`	Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models. CoRR Abdullah Mustafa, Ryo Hanai, Ixchel G. Ramirez, Floris Erich, Ryoichi Nakajo, Yukiyasu Domae, Tetsuya Ogata
2021	—	`conf`	Comparison of Consolidation Methods for Predictive Learning of Time Series. IEA/AIE (1) Ryoichi Nakajo, Tetsuya Ogata
2019	A	`conf`	Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors. IROS Kei Kase, Ryoichi Nakajo, Hiroki Mori, Tetsuya Ogata
2018	J	`jnl`	Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks. Frontiers Neurorobotics Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2016	—	`conf`	Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty. ICONIP (4) Ryoichi Nakajo, Maasa Takahashi, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2015	—	`conf`	Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. ICDL-EPIROB Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
2015	—	`conf`	Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment. ICDL-EPIROB Shingo Murata, Saki Tomioka, Ryoichi Nakajo, Tatsuro Yamada, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano