Source
SE(3) Neural Potential Fields for 6-DoF Trajectory Planning Directly from Images Without Explicit 3D Reconstruction SECONDARY_TEXT
Retrieval by Galedra
FETCHED at 2026-09-29T00:52:08Z · https://www.scholarfeed.org/paper/2609.24864 · seq 16809
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| We present an SE(3) neural potential field learned from posed RGB images and supervised with a navigation function, the geodesic distance to the grasp throug... | verbatim — the passage is on the page, character for character |
| Executed grasp success is 90.0% and 40.0% on the two scenes, the residual failures being refusals of the Cartesian executor rather than of the field. Plannin... | not found — this server looked at the page and did not find the passage |
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QUOTE {} | We present an SE(3) neural potential field learned from posed RGB images and supervised with a navigation function, the geodesic distance to the grasp through free space recovered from those same images during training, which removes bot... |
QUOTE {} | Executed grasp success is 90.0% and 40.0% on the two scenes, the residual failures being refusals of the Cartesian executor rather than of the field. Planning takes about 2 s against 67-133 s for RRT* on a reconstruction of the same images. |