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Ryoichi Nakajo

Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors
2019 · Kei Kase, Ryoichi Nakajo, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 10
Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences
2015 · Ryoichi Nakajo, Shingo Murata, et al. · IEEE International Conference on Development and Learning (ICDL) · 9
Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
2025 · Oh, Hanbit, Murooka, Masaki, et al. · arXiv (Cornell University) · 6
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Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks
2018 · Ryoichi Nakajo, Shingo Murata, et al. · Frontiers in Neurorobotics · 5
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Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers
2025 · Tomohiro Motoda, Ryo Hanai, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 4
The Embodiment Gap in Robot Foundation Models
2026 · Domae, Yukiyasu, Shirai, Keisuke, et al. · arXiv (Cornell University) · 3
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Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty
2016 · Ryoichi Nakajo, Maasa Takahashi, et al. · Lecture notes in computer science · 3
Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment
2015 · Shingo Murata, Saki Tomioka, et al. · IEEE International Conference on Development and Learning (ICDL) · 3
GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning
2026 · Murooka, Masaki, Nakajo, Ryoichi, et al. · arXiv (Cornell University) · 2
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Self-augmented robot trajectory: efficient imitation learning via safe self-augmentation with demonstrator-annotated precision
2026 · Hanbit Oh, Masaki Murooka, et al. · Advanced Robotics · 2
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Recipe for Vision-Language-Action Models in Robotic Manipulation: A Survey
2025 · Tomohiro Motoda, Koshi Makihara, et al. · 2
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Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models
2024 · Abdullah Mustafa, Ryo Hanai, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 2
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Comparison of Consolidation Methods for Predictive Learning of Time Series
2021 · Ryoichi Nakajo, Tetsuya Ogata · Lecture notes in computer science · 2
Automatic Segmentation of Continuous Time-Series Data Based on Prediction Error Using Deep Predictive Learning
2024 · Suzuka Harada, Ryoichi Nakajo, et al. · IEEE/SICE International Symposium on System Integration (SII) · 1
Evaluating Tactile Foundation Models for End-to-End Imitation Learning in Contact-Rich Manipulation
2026 · Murooka, Masaki, Nakajo, Ryoichi, et al. · arXiv (Cornell University)
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TOAST: Stochastic Robot Action Tokenization for Autoregressive Vision-Language-Action Models
2026 · Shirai, Keisuke, Motoda, Tomohiro, et al. · arXiv (Cornell University)
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Self-Supervised Anchoring of Fingertip Sensing to Proprioception and Proactive Actions for Robot Imitation Learning
2026 · Motoda, Tomohiro, Murooka, Masaki, et al. · arXiv (Cornell University)
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Improving Imitation Learning Efficiency for Manipulation through Geometric Prior Pretraining
2026 · Iwakata, Shogo, Motoda, Tomohiro, et al. · arXiv (Cornell University)
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Non-Prehensile Throwing: A Reinforcement Learning Perspective
2026 · Mustafa, Abdullah, Hanai, Ryo, et al. · arXiv (Cornell University)
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RoboManipBaselines
2026 · Murooka, Masaki, Motoda, Tomohiro, et al. · Zenodo (CERN European Organization for Nuclear Research)
Self-augmented robot trajectory: efficient imitation learning via safe self-augmentation with demonstrator-annotated precision
2026 · Hanbit Oh, Masaki Murooka, et al. · Figshare
Learning Dynamic Non-Prehensile Object Reorientation via Reinforcement Learning
2026 · Abdullah Mustafa, Ryo Hanai, et al. · IEEE/SICE International Symposium on System Integration (SII)
RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation Across Real and Simulation Environments
2026 · Masaki Murooka, Tomohiro Motoda, et al. · IEEE Access
ForceMapping: learning visual-force features from vision for soft objects manipulation
2025 · Abdullah Mustafa, Ryo Hanai, et al. · Advanced Robotics
Predicting human behavior using knowledge information in jig operation and robot collaborative action generation
2025 · Mone Tamaki, Ryoichi Nakajo, et al. · IEEE/SICE International Symposium on System Integration (SII)
Works count: 32
Citation count: 61
H-index: 5
I10-index: 1
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