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DA3-VLA — RoboPRO Evaluation Results
Full evaluation results on the RoboPRO benchmark (RoboTwin / SAPIEN sim, 79 tasks across kitchenl / kitchens / office / study), organized by model. Each model folder contains the scored metrics, per-task CSVs, rollout videos, and the model checkpoint.
Protocol: stock TOPP control; clean = 20 seeds/task, clutter = d6–d15 × 2 seeds/task. Clean and clutter are reported separately (never averaged).
Headline numbers
| Model | Clean SR / HSR | Clutter SR / HSR |
|---|---|---|
| pi05_da3_v2final_ckpt39999 — pi0.5 + DA3 (L6-Action XAttn), 30/50 exec | 81.3 / 62.8 | 72.8 / 25.1 |
| pi05_base_50-50 — vanilla pi0.5 (clean 50/50, clutter 30/50) | 70.1 / 54.9 | 62.2 / 22.9 |
| da3-xvla-45k — giant X-VLA + DA3 (L6-Action XAttn), ckpt 45k | 55.6 / 46.7 | 45.3 / 11.2* |
*da3-xvla-45k clutter is partial (n=1187, ~75%). The two pi05 models are complete and matched. DA3 beats vanilla pi0.5 on both configs: clean +11.2/+7.9, clutter +10.6/+2.2.
Layout (per model)
<model>/
SUMMARY.txt # TOTAL + per-scene + per-task, for CLEAN and CLUTTER sections
per_task_clean.csv # scene,task,SR,HSR,n
per_task_clutter.csv # scene,task,SR,HSR,n
<scene>__<task>/ # rollout videos: episodeN.mp4 (clean), d<N>_episodeN.mp4 (clutter)
checkpoint/ # the model weights used for this eval
Models:
pi05_da3_v2final_ckpt39999— pi0.5 + DA3 spatial addon, v2-final checkpoint (openpi/JAX).pi05_base_50-50— base pi0.5 (jax 30k), the vanilla baseline.da3-xvla-45k—v1-nested-giant-perc-ckpt45000, giant X-VLA with DA3 (policydxvla).
Notes
- SR = success rate; HSR = hard success (success with zero collisions).
- Sim: SAPIEN 3.0.0b1 on GB10 (aarch64). Long-horizon kitchens chains and dense clutter are the hardest cells; clutter HSR is collision-bottlenecked for all models.
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