OpenVLA
Open-source Vision-Language-Action model referenced as a compatible backbone for VLA-Pro.
“S2-VLA consistently outperforms larger 7B-scale models like OpenVLA-OFT and MemoryVLA”
Source→“"a single-step OpenVLA policy attains a success rate of only 36%, while its chunked, memory-augmented variant OpenVLA-OFT reaches 92%"”
Source→“"Temporal smoothing trades success for stability on every single-step backbone: on OpenVLA it raises aggregate stability from 20.1% to 36.2% but reduces mean success from 36% to 28%"”
Source→“the architecture can be layered onto existing investments (e.g., OpenVLA, π0, or other foundation models) rather than requiring a full model replacement.”
Source→“StarVLA-OFT attaches a lightweight MLP regression head... following OpenVLA-OFT”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.