2D and 3D Grasp Planners for the GET Asymmetrical Gripper

Fuente: arXiv
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Hauptverfasser: Goldberg, Andrew, Ransing, Ethan, Kourakin, Anton, Magner, Cael, Adelson, Edward H., Goldberg, Ken
Format: Preprint
Veröffentlicht: 2026
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author Goldberg, Andrew
Ransing, Ethan
Kourakin, Anton
Magner, Cael
Adelson, Edward H.
Goldberg, Ken
author_facet Goldberg, Andrew
Ransing, Ethan
Kourakin, Anton
Magner, Cael
Adelson, Edward H.
Goldberg, Ken
contents In this paper, we introduce GET-2D-1.0, a fast grasp planner for the GET asymmetrical gripper that operates from a single-view RGB-D image, using the Ferrari-Canny metric and a novel sampling strategy, and GET-3D-1.0, a mesh-based method using a 3D gripper model and ray-tracing. We evaluate both grasp planners against baselines with physical experiments, which suggest that GET-2D-1.0 can improve over a bounding box baseline by over 40% in lift success, shake survival, and force resistance. Experiments with GET-3D-1.0 suggest slight improvement compared to GET-2D-1.0 on lift success and shake survival, but are more computationally expensive, averaging 17 seconds of planning compared to 683 ms for GET-2D-1.0.
format Preprint
id arxiv_https___arxiv_org_abs_2604_26212
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle 2D and 3D Grasp Planners for the GET Asymmetrical Gripper
Goldberg, Andrew
Ransing, Ethan
Kourakin, Anton
Magner, Cael
Adelson, Edward H.
Goldberg, Ken
Robotics
In this paper, we introduce GET-2D-1.0, a fast grasp planner for the GET asymmetrical gripper that operates from a single-view RGB-D image, using the Ferrari-Canny metric and a novel sampling strategy, and GET-3D-1.0, a mesh-based method using a 3D gripper model and ray-tracing. We evaluate both grasp planners against baselines with physical experiments, which suggest that GET-2D-1.0 can improve over a bounding box baseline by over 40% in lift success, shake survival, and force resistance. Experiments with GET-3D-1.0 suggest slight improvement compared to GET-2D-1.0 on lift success and shake survival, but are more computationally expensive, averaging 17 seconds of planning compared to 683 ms for GET-2D-1.0.
title 2D and 3D Grasp Planners for the GET Asymmetrical Gripper
topic Robotics
url https://arxiv.org/abs/2604.26212