VistaVLA lifts 2D semantic features into 3D Gaussians and compresses them to 64 tokens, improving robot manipulation success by 22.8% over a 2D VLA baseline in real-world tasks.
Title resolution pending
1 Pith paper cite this work, alongside 1 external citations. Polarity classification is still indexing.
1
Pith paper citing it
1
external citations · OpenAlex
fields
cs.RO 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
VistaVLA: Geometry- and Semantic-Aware 3D Gaussian-Grounded VLA for Robotic Manipulation
VistaVLA lifts 2D semantic features into 3D Gaussians and compresses them to 64 tokens, improving robot manipulation success by 22.8% over a 2D VLA baseline in real-world tasks.