VP-VLA-OXE
This repository contains the VP-VLA policy checkpoint trained for OXE / SimplerEnv-style tabletop manipulation.
VP-VLA uses visual prompts as an interface for vision-language-action models: a high-level planner converts language instructions into visual prompts, and the policy follows those prompts to produce robot actions.
Usage
Use this checkpoint with the released VP-VLA codebase:
Please follow the installation and evaluation instructions in the VP-VLA repository, then pass this checkpoint path to the SimplerEnv evaluation script.
Citation
If you use this model, please cite the VP-VLA paper:
