Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation. - Hideyuki Ichiwara; Hiroshi Ito; Kenjiro Yamamoto; Hiroki Mori; Tetsuya Ogata (CoRR, 2021)

Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility. - Hideyuki Ichiwara; Hiroshi Ito; Kenjiro Yamamoto; Hiroki Mori; Tetsuya Ogata (ICRA, 2022)

Integrated Learning of Robot Motion and Sentences: Real-Time Prediction of Grasping Motion and Attention based on Language Instructions. - Hiroshi Ito; Hideyuki Ichiwara; Kenjiro Yamamoto; Hiroki Mori; Tetsuya Ogata (ICRA, 2022)

Multimodal Time Series Learning of Robots Based on Distributed and Integrated Modalities: Verification with a Simulator and Actual Robots. - Hideyuki Ichiwara; Hiroshi Ito; Kenjiro Yamamoto; Hiroki Mori; Tetsuya Ogata (ICRA, 2023)

Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions. - André Yuji Yasutomi; Hideyuki Ichiwara; Hiroshi Ito; Hiroki Mori; Tetsuya Ogata (IEEE Robotics Autom. Lett., 2023)

Modality Attention for Prediction-Based Robot Motion Generation: Improving Interpretability and Robustness of Using Multi-Modality. - Hideyuki Ichiwara; Hiroshi Ito; Kenjiro Yamamoto; Hiroki Mori; Tetsuya Ogata (IEEE Robotics Autom. Lett., 2023)

Retry-behavior Emergence for Robot-Motion Learning Without Teaching and Subtask Design. - Hideyuki Ichiwara; Hiroshi Ito; Kenjiro Yamamoto; Tetsuya Ogata (AIM, 2024)

Real- Time Failure/Anomaly Prediction for Robot Motion Learning Based on Model Uncertainty Prediction. - Hideyuki Ichiwara; Hiroshi Ito; Kenjiro Yamamoto (SII, 2024)

Real-Time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes. - Kenjiro Yamamoto; Hiroshi Ito; Hideyuki Ichiwara; Hiroki Mori; Tetsuya Ogata (SII, 2024)