# Submission form draft

## Artifact name

`scv-think-tank-robosyn-preliminary-v1`

## Experiment name

`Task-specific TurboVLA + DP Hard450 preliminary submission`

## Short description

Task-specific policy ensemble for the ten RoboSynChallenge manipulation tasks.
Six tasks use TurboVLA checkpoints warm-started from pretrained vision and text
encoders, click_bell uses a Diffusion Policy fine-tuned with 450 additional
hard-position trajectories, and three tasks use the strongest released official
checkpoint as a fallback.

## Data source

Official released RoboSynChallenge simulation datasets for all ten tasks.  The
click_bell policy additionally uses 450 hard-position trajectories generated
with the official simulator, task definition, and released assets.  No external
demonstration dataset is used.  Pretrained model weights are used for TurboVLA.

## Run and dependency notes

The GitHub repository contains `eval.sh`, `deploy_policy.yml`, and
`deploy_policy.py` for each submitted policy adapter.  The task-to-checkpoint
mapping and pinned official fallback revisions are recorded in
`task_checkpoints.json` in the Hugging Face repository.  TurboVLA uses RGB
observations from cam_high, cam_left_wrist, and cam_right_wrist with a 50-action
horizon and ten environment steps per evaluation call.  click_bell uses
Diffusion Policy with `dp_step=8`.  Full setup and per-task commands are in the
GitHub README.