Hyogo Hiruma

According to our database, Hyogo Hiruma authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Xianbo Cai, Hideyuki Ichiwara, Hyogo Hiruma, Masaki Yoshikawa, Hiroshi Ito, Tetsuya Ogata

CoRR, May, 2026

QDM-RNN: Acquisition of High-speed and Robust Behavior from Low-speed Demonstrations.

Masaki Yoshikawa, Hiroshi Ito, Hyogo Hiruma, Tetsuya Ogata

Proceedings of the IEEE/SICE International Symposium on System Integration, 2026

Grasping Motion Generation for Deformable Objects under Dynamic Position Changes via Variance Prediction.

Riko Kawata, Hyogo Hiruma, Hiroshi Ito, Tetsuya Ogata, Shigeki Sugano

Proceedings of the IEEE/SICE International Symposium on System Integration, 2026

2025

A3RNN: Bi-directional Fusion of Bottom-up and Top-down Process for Developmental Visual Attention in Robots.

Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata

CoRR, October, 2025

UF-RNN: Real-Time Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction.

Hyogo Hiruma, Hiroshi Ito, Tetsuya Ogata

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

A³RNN: Bi-directional Fusion of Bottom-up and Top-down Process for Developmental Visual Attention in Robots.

Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata

Proceedings of the IEEE International Conference on Development and Learning, 2025

2024

3D Space Perception via Disparity Learning Using Stereo Images and an Attention Mechanism: Real-Time Grasping Motion Generation for Transparent Objects.

Xianbo Cai, Hiroshi Ito, Hyogo Hiruma, Tetsuya Ogata

IEEE Robotics Autom. Lett., December, 2024

Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction.

Hyogo Hiruma, Hiroshi Ito, Tetusya Ogata

CoRR, 2024

CSI-fingerprinting Based Human Indoor Localization in Noisy Environment using Time-Invariant CNN.

Hyogo Hiruma, Yuki Inoue, Takuto Sato, Hiroki Ohashi

Proceedings of the 14th International Conference on Indoor Positioning and Indoor Navigation, 2024

2022

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

Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata

IEEE Robotics Autom. Lett., 2022

Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose Prediction.

Hyogo Hiruma, Hiroki Mori, Tetsuya Ogata

CoRR, 2022

Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Prediction for Robot Pose Prediction.

Hyogo Hiruma, Hiroki Mori, Hiroshi Ito, Tetsuya Ogata

Proceedings of the IECON 2022, 2022