Hiroshi Ito

About

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Research Focus

Key Achievements

Top Papers

1. 1
   Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control

   81 citations · 2022
2. 2
   Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions

   35 citations · 2023
3. 3
   Two-mode Mapless Visual Navigation of Indoor Autonomous Mobile Robot using Deep Convolutional Neural Network

   13 citations · 2020
4. 4
   Deep Active Visual Attention for Real-Time Robot Motion Generation: Emergence of Tool-Body Assimilation and Adaptive Tool-Use

   12 citations · 2022
5. 5
   Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation

   11 citations · 2021
6. 6
   Integrated Learning of Robot Motion and Sentences: Real-Time Prediction of Grasping Motion and Attention based on Language Instructions

   9 citations · 2022
7. 7
   Modality Attention for Prediction-Based Robot Motion Generation: Improving Interpretability and Robustness of Using Multi-Modality

   7 citations · 2023
8. 8
   Real-Time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes

   6 citations · 2024
9. 9
   Rapid prototyping for series of tasks in atypical environment: robotic system with reliable program-based and flexible learning-based approaches

   6 citations · 2022
10. 10
    Deep Predictive Learning: Motion Learning Concept inspired by Cognitive Robotics

    6 citations · 2023

Key Collaborators