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