AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
2023 · IEEE Transactions on Robotics · 180 citations
https://doi.org/10.1109/tro.2023.3281153
H
Hongjie Fang
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9
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8
i10-index
Hongjie Fang is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Robot Manipulation and Learning & Reinforcement Learning in Robotics & Hand Gesture Recognition Systems. The author has an h-index of 9, co-authored 19 publications.
ORCID: 0000-0002-6309-1160Papers by this author
worksGraspness Discovery in Clutters for Fast and Accurate Grasp Detection
2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 118 citations
https://doi.org/10.1109/iccv48922.2021.01566
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline
2022 · IEEE Robotics and Automation Letters · 112 citations
https://doi.org/10.1109/lra.2022.3183256
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>
2024 · 98 citations
https://doi.org/10.1109/icra57147.2024.10611477
AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild
2024 · 25 citations
https://doi.org/10.1109/icra57147.2024.10610799
Target-referenced Reactive Grasping for Dynamic Objects
2023 · 15 citations
https://doi.org/10.1109/cvpr52729.2023.00852
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