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Vincent2311/VP-VLA-Robocasa-Tabletop
VP-VLA-Robocasa-Tabletop is a robotics model from Vincent2311. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
This repository contains the VP-VLA policy checkpoint trained for RoboCasa tabletop manipulation.
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From the Hugging Face model README
This repository contains the VP-VLA policy checkpoint trained for RoboCasa 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.
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 RoboCasa tabletop evaluation script.
If you use this model, please cite the VP-VLA paper: