Adapt robot policies with OpenVLA-OFT LoRA

fine-tuning-openvla-oftskillsetup L39,423
Orchestra-Research/AI-Research-SKILLs
What it does

Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action

Best for

Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.

Inputs

Task context, parameters

Outputs

Executed skill results

Requires

OpenVLA, OpenVLA-OFT, VLA

Preconditions

Dependencies: torch==2.2.0, transformers>=4.40.0

Failure modes

Invalid context; Incomplete parameters

Trust signals

From Orchestra-Research/AI-Research-SKILLs; v1.0.0; MIT license