The authors developed ExStereo, a module that processes stereo image pairs through a pre-trained stereo foundation model to recover disparity and metric depth.
Stereo module lifts 2D vision-language-action models to 3D for robot manipulation
ExStereo uses stereo pairs and an explicit 3D representation to improve robotic manipulation success rates in simulation and the real world.
Academic
I-Chun Arthur Liu · Jason Chen · Gaurav S. Sukhatme · Daniel Seita
University of Southern California
Research Digest··3 min read
The authors introduce ExStereo, a stereo module that adds 3D perception to pre-trained 2D Vision-Language-Action (VLA) models.
Why this paper
From University of Southern California
In one line
ExStereo augments pre-trained 2D Vision-Language-Action models with 3D perception using stereo vision, improving robotic manipulation success rates.
What we could check
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- ✓Reports numbers on named benchmarks (2 benchmarks)
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