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license: apache-2.0
tags:
- robotics
- vision-language-action
- robosynchallenge
- turbovla
- diffusion-policy
---
# RoboSynChallenge preliminary submission
Task-specific checkpoints for team `scv-think-tank` (`HanJW2000`). The
submission uses six TurboVLA checkpoints and one Diffusion Policy checkpoint
trained only with the released RoboSynChallenge simulation data plus generated
hard-position trajectories for `click_bell`.
## Task mapping
| Task | Policy | Checkpoint | Local seed-0 result |
|---|---|---|---:|
| `table_rearrangement` | TurboVLA | `checkpoints/table_rearrangement/turbovla/final_model/ema_ema_pytorch_model.pt` | 99/100 |
| `handle_basket` | TurboVLA | `checkpoints/handle_basket/turbovla/final_model/ema_ema_pytorch_model.pt` | 96/100 |
| `mixer_operating` | TurboVLA | `checkpoints/mixer_operating/turbovla/final_model/ema_ema_pytorch_model.pt` | 95/100 |
| `item_assembly` | TurboVLA | `checkpoints/item_assembly/turbovla/final_model/ema_ema_pytorch_model.pt` | 76/100 |
| `water_pouring` | TurboVLA | `checkpoints/water_pouring/turbovla/final_model/ema_ema_pytorch_model.pt` | 74/100 |
| `items_handover` | TurboVLA | `checkpoints/items_handover/turbovla/final_model/ema_ema_pytorch_model.pt` | 64/100 |
| `click_bell` | Diffusion Policy | `checkpoints/click_bell/dp/pretrained_model/` | 66/100 |
| `manipulate_pipette` | official ACT fallback | `RoboSynChallenge/ACT_sim_manipulate_pipette` at `ca013b2e202d594bf347530c61c3ba28c06d1bc2` | official 61/100 |
| `drawer_open_place` | official SmolVLA fallback | `RoboSynChallenge/SmolVLA_sim_drawer_open_place` at `c0088d84a568f93fb4401aabafcc41cf643efcdd` | official 62/100 |
| `sample_loading` | official SmolVLA fallback | `RoboSynChallenge/SmolVLA_sim_sample_loading` at `2a4f41ab3be8e5f544c890d6054bc8de3be5c53b` | official 6/100 |
The reported aggregate of the selected public results is 69.9% success. The
organizer's held-out preliminary evaluation may differ from these public-seed
results.
## Shared TurboVLA dependencies
The upload includes the exact local model files used during evaluation:
- `dependencies/dinov3-vitl16/`
- `dependencies/bert-base-uncased/`
- `dependencies/groundingdino/`
The code repository README documents the environment and complete evaluation
commands. `task_checkpoints.json` is the machine-readable task router.
## Data
- Official released RoboSynChallenge simulation datasets for all tasks.
- An additional 450 `click_bell` hard-position trajectories generated with the
official simulator and task assets.
- No external demonstration dataset.
## Integrity
`SHA256SUMS` records every uploaded checkpoint and dependency model file.
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