March 28, 2024, 4:46 a.m. | Siang Chen, Wei Tang, Pengwei Xie, Wenming Yang, Guijin Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.18546v1 Announce Type: cross
Abstract: Fast and robust object grasping in clutter is a crucial component of robotics. Most current works resort to the whole observed point cloud for 6-Dof grasp generation, ignoring the guidance information excavated from global semantics, thus limiting high-quality grasp generation and real-time performance. In this work, we show that the widely used heatmaps are underestimated in the efficiency of 6-Dof grasp generation. Therefore, we propose an effective local grasp generator combined with grasp heatmaps as …

arxiv cs.ai cs.cv cs.ro detection heatmap type

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