Trajectory Prediction on RoboInter, ShareRobot, and VA Benchmarks
0.125Error (RoboInter Gripper)SPARC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SPARCBackbone=Qwen3.5-4B2026.06 | 0.125 | 0.319 | 0.232 | 0.091 | 0.192 | |
| SPARC (4B)Parameter Scale=4B2026.06 | 0.125 | 0.319 | 0.232 | 0.091 | 0.192 | |
| + EO-1.5MBase Model=Qwen3.5-4B, Training Data=EO-1.5M2026.06 | 0.148 | 0.272 | 0.234 | — | — | |
| + Detection qualityBase Model=Qwen3.5-4B, Training Data=Detection quality2026.06 | 0.156 | 0.32 | 0.242 | 0.152 | 0.218 | |
| SPARC (0.8B)Parameter Scale=0.8B2026.06 | 0.157 | 0.425 | 0.358 | 0.208 | 0.287 | |
| SPARC (0.8B, VT-FT)Parameter Scale=0.8B, Training Protocol=VT-FT2026.06 | 0.175 | 0.429 | 0.354 | 0.216 | 0.294 | |
| Qwen3.5-4BModel Size=4B2026.06 | 0.18 | 0.282 | — | 0.219 | — | |
| Qwen3.5-4BParameter Scale=4B, Training Protocol=Zero-shot2026.06 | 0.18 | 0.282 | — | 0.219 | — | |
| + Base MixtureBase Model=Qwen3.5-4B, Training Data=Base Mixture2026.06 | 0.278 | 0.298 | 0.284 | 0.21 | 0.268 | |
| RoboInter-LLaVAOV (7B)Parameter Scale=7B2026.06 | 0.299 | 0.299 | — | — | — | |
| RoboInter-Qwen (7B)Parameter Scale=7B2026.06 | 0.38 | 0.323 | — | — | — | |
| RoboInter-Qwen (3B)Parameter Scale=3B2026.06 | 0.384 | 0.332 | — | — | — | |
| RoboBrain 2.0 (7B)Model Size=7B2026.06 | — | — | 0.236 | — | — | |
| RoboBrain 2.0 (7B)Parameter Scale=7B2026.06 | — | — | 0.236 | — | — | |
| RynnBrain (2B)Parameter Scale=2B2026.06 | — | — | 0.34 | — | — | |
| RynnBrain (8B)Parameter Scale=8B2026.06 | — | — | 0.35 | — | — |