most citedSuction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter

3 citations · 3 across the 2 of their papers we have counts for

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cs.RO2024

Target Pose Guided Whole-body Grasping Motion Generation for Digital Humans

Quanquan Shao, Yi Fang

Grasping manipulation is a fundamental mode for human interaction with daily life objects. The synthesis of grasping motion is also greatly demanded in many applications such as an…

cs.RO2019★ 3 cited

Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter

Quanquan Shao, Jie Hu, Weiming Wang +4

This paper focuses on robotic picking tasks in cluttered scenario. Because of the diversity of poses, types of stack and complicated background in bin picking situation, it is much…