7 citations · 13 across the 7 of their papers we have counts for
7 papers
Designing Pin-pression Gripper and Learning its Dexterous Grasping with Online In-hand Adjustment
Hewen Xiao, Xiuping Liu, Hang Zhao +2
We introduce a novel design of parallel-jaw grippers drawing inspiration from pin-pression toys. The proposed pin-pression gripper features a distinctive mechanism in which each fi…
G-DexGrasp: Generalizable Dexterous Grasping Synthesis Via Part-Aware Prior Retrieval and Prior-Assisted Generation
Juntao Jian, Xiuping Liu, Zixuan Chen +3
Recent advances in dexterous grasping synthesis have demonstrated significant progress in producing reasonable and plausible grasps for many task purposes. But it remains challengi…
Physics-Aware Iterative Learning and Prediction of Saliency Map for Bimanual Grasp Planning
Shiyao Wang, Xiuping Liu, Charlie C. L. Wang +1
Learning the skill of human bimanual grasping can extend the capabilities of robotic systems when grasping large or heavy objects. However, it requires a much larger search space f…
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose
Juntao Jian, Xiuping Liu, Manyi Li +2
How human interact with objects depends on the functional roles of the target objects, which introduces the problem of affordance-aware hand-object interaction. It requires a large…
PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation
Jie Zhang, Minghui Nie, Changqing Zou +3
Although supervised deep normal estimators have recently shown impressive results on synthetic benchmarks, their performance deteriorates significantly in real-world scenarios due…
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds
Xiantong Zhao, Yinan Han, Shengjing Tian +2
Although recent Siamese network-based trackers have achieved impressive perceptual accuracy for single object tracking in LiDAR point clouds, they usually utilized heavy correlatio…
Caging Loops in Shape Embedding Space: Theory and Computation
Jian Liu, Shiqing Xin, Zengfu Gao +3
We propose to synthesize feasible caging grasps for a target object through computing Caging Loops, a closed curve defined in the shape embedding space of the object. Different fro…