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Junnan Jiang

2 accepted papers

2023

GraspAda: Deep Grasp Adaptation through Domain Transfer

ICRA 2023poster

Learning-based methods for robotic grasping have been shown to yield high performance. However, they rely on expensive-to-acquire and well-labeled datasets. In addition, how to generalize the learned grasping ability across different scenarios is still unsolved. In this paper, we present a novel gra…

Cited by 7SourceScholar
2023

PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM

IROS 2023poster

Accurate estimation of the relative pose between an object and a robot hand is critical for many manipulation tasks. However, most of the existing object-in-hand pose datasets use two-finger grippers and also assume that the object remains fixed in the hand without any relative movements, which is n…

Cited by 9SourcecodeScholar