Hideyuki Ichiwara

Orcid: 0000-0001-7220-6268

According to our database1, Hideyuki Ichiwara authored at least 15 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MSACT: Multistage Spatial Alignment for Stable Low-Latency Fine Manipulation.
CoRR, May, 2026

Stereo Multistage Spatial Attention for Real-Time Mobile Manipulation Under Visual Scale Variation and Disturbances.
CoRR, May, 2026

Data Augmentation for Continual Learning of Fast and Smooth Imitation Motions Using Model Predictive Control.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2026

AIREC-Basic: Consistent Demonstration Data Collection for Imitation Learning with Redundant Robot Arms.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2026

2025
Input-gated Bilateral Teleoperation: An Easy-to-implement Force Feedback Teleoperation Method for Low-cost Hardware.
CoRR, September, 2025

End-Effector Position Control of Joint Sensor-Less Robots for Harsh Environment Based on SLAM Using Hand-Eye Camera.
Proceedings of the 24th IEEE-RAS International Conference on Humanoid Robots, 2025

2024
Real-Time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

Real- Time Failure/Anomaly Prediction for Robot Motion Learning Based on Model Uncertainty Prediction.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

Retry-behavior Emergence for Robot-Motion Learning Without Teaching and Subtask Design.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023
Modality Attention for Prediction-Based Robot Motion Generation: Improving Interpretability and Robustness of Using Multi-Modality.
IEEE Robotics Autom. Lett., December, 2023

Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions.
IEEE Robotics Autom. Lett., March, 2023

Multimodal Time Series Learning of Robots Based on Distributed and Integrated Modalities: Verification with a Simulator and Actual Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Integrated Learning of Robot Motion and Sentences: Real-Time Prediction of Grasping Motion and Attention based on Language Instructions.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation.
CoRR, 2021


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