Hyogo Hiruma

13 papers A 1C 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Grasping Motion Generation for Deformable Objects under Dynamic Position Changes via Variance Prediction.
SII
Riko Kawata, Hyogo Hiruma, Hiroshi Ito, Tetsuya Ogata, Shigeki Sugano
2026 — conf
QDM-RNN: Acquisition of High-speed and Robust Behavior from Low-speed Demonstrations.
SII
Masaki Yoshikawa, Hiroshi Ito, Hyogo Hiruma, Tetsuya Ogata
2025 — conf
A
ICDL
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
2025 J jnl
A3RNN: Bi-directional Fusion of Bottom-up and Top-down Process for Developmental Visual Attention in Robots.
CoRR
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
2025 A conf
UF-RNN: Real-Time Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction.
IROS
Hyogo Hiruma, Hiroshi Ito, Tetsuya Ogata
2025 J jnl
UF-RNN: Real-Time Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction.
CoRR
Hyogo Hiruma, Hiroshi Ito, Tetsuya Ogata
2024 J jnl
3D Space Perception via Disparity Learning Using Stereo Images and an Attention Mechanism: Real-Time Grasping Motion Generation for Transparent Objects.
IEEE Robotics Autom. Lett.
Xianbo Cai, Hiroshi Ito, Hyogo Hiruma, Tetsuya Ogata
2024 J jnl
Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction.
CoRR
Hyogo Hiruma, Hiroshi Ito, Tetusya Ogata
2024 C conf
CSI-fingerprinting Based Human Indoor Localization in Noisy Environment using Time-Invariant CNN.
IPIN
Hyogo Hiruma, Yuki Inoue, Takuto Sato, Hiroki Ohashi
2022 J jnl
Deep Active Visual Attention for Real-Time Robot Motion Generation: Emergence of Tool-Body Assimilation and Adaptive Tool-Use.
IEEE Robotics Autom. Lett.
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
2022 J jnl
Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use.
CoRR
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata
2022 J jnl
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose Prediction.
CoRR
Hyogo Hiruma, Hiroki Mori, Tetsuya Ogata
2022 C conf
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Prediction for Robot Pose Prediction.
IECON
Hyogo Hiruma, Hiroki Mori, Hiroshi Ito, Tetsuya Ogata