Robo_Orchard_Lab
Collection
4 items
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Updated
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2
Method | ckpt | Camera | Seen (AP) | Similar (AP) | Novel (AP) | Average (AP) |
---|---|---|---|---|---|---|
FineGrasp | finegrasp_wo_sim.pth | Realsense | 71.67 | 62.83 | 27.40 | 53.97 |
FineGrasp + CD | finegrasp_wo_sim.pth | Realsense | 73.71 | 64.56 | 28.14 | 55.47 |
FineGrasp + Simulation Data | finegrasp_sim.pth | Realsense | 70.21 | 61.98 | 26.18 | 52.79 |
We also provide a grasp-based baseline for Challenge Cup, please refer to this code
Notice: finegrasp_sim.pth is trained for Challenge Cup RoboTwin simulation benchmark.
@misc{du2025finegrasp,
title={FineGrasp: Towards Robust Grasping for Delicate Objects},
author={Yun Du and Mengao Zhao and Tianwei Lin and Yiwei Jin and Chaodong Huang and Zhizhong Su},
year={2025},
eprint={2507.05978},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2507.05978},
}