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title
description
image
site name
author
updated
2026-02-23 13:49:31
raw text
Recordings Speakers Organizers Schedule Contact Overview Representations of scenes and objects play a crucial role in robot manipulation. Traditional ways represent scenes and objects using explicit geometric primitives, such as 3D meshes, 3D point clouds, 3D voxels, etc. These geometric representations have been widely explored in perception, grasp planning and motion planning in manipulation. However, they still have difficulties in handling challenging manipulation scenarios involving unseen objects, articulated objects, or deformable objects. Recently, neural representations of scenes and objects, such as neural radiance fields and deep signed distance fields, have introduced, which demonstrate superior performance on visual rendering and shape reconstruction tasks. Ideally, neural representations can handle arbitrary scenes and objects by encoding ...
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