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Yeongmin Kim

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Open access 2026

Grasp Pose Estimation of Articulated Objects Based on Semantic and Geometric Feature Fusion

A deep learning-based grasp estimation model designed to enable robotic manipulation with articulated objects that incorporates the attention-based semantic and geometric feature fusion (ASGF) module improved the grasp success rate in the evaluated setting.

Dongwoo Lee, Yeongmin Kim, Seong-Bo Jo et al. · IEEE Access · 0 citations