Neural Feature Fields for Language-Guided Robot Manipulation
Self-supervised and language-supervised image models contain rich knowledge of the world that is important for generalization. Many robotic tasks, however, require a detailed understanding of 3D geometry, which is often lacking in 2D image features. This work bridges this 2D-to-3D gap for robotic ma...
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/152770 https://orcid.org/0009-0004-0227-1071 |