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Tilted output grasping pose due to hardcoded grasp depth #98

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Moreland-cas opened this issue Feb 25, 2025 · 0 comments
Open

Tilted output grasping pose due to hardcoded grasp depth #98

Moreland-cas opened this issue Feb 25, 2025 · 0 comments

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@Moreland-cas
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Moreland-cas commented Feb 25, 2025

Hello! Thank you for your amazing work on AnyGrasp. It's been really helpful.

I'm currently running AnyGrasp on my custom point cloud data and have encountered a few issues. I've attached the predicted grasp results for my data with the top_down parameter set to False and True, respectively.

  1. top_down=False

Image

When top_down=False, AnyGrasp generates a large number of grasps. However, since the hardcoded depth is set to 2cm and the handle in my data is relatively short, the grasps appear to be tilted.

  1. top_down=True

Image

When top_down=True, the number of available grasps is significantly reduced. In fact, no grasps are found in the middle drawer.

I'm wondering if my analysis is correct: does the hardcoded depth cause the tilted grasps? Is there a workaround to address this issue?
Thank you in advance for your help!

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