Robot Manipulation Generalization On Gembench
Metrics
Average Success Rate
Average Success Rate (L1)
Average Success Rate (L2)
Average Success Rate (L3)
Average Success Rate (L4)
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | Average Success Rate | Average Success Rate (L1) | Average Success Rate (L2) | Average Success Rate (L3) | Average Success Rate (L4) |
---|---|---|---|---|---|
polarnet-3d-point-clouds-for-language-guided | 38.4 | 77.7±0.9 | 37.1±1.4 | 38.5±1.7 | 0.1±0.2 |
towards-generalizable-vision-language-robotic | 48.0 | 68.7±0.6 | 64.5±0.9 | 41.5±1.8 | 17.4±0.4 |
3d-diffuser-actor-policy-diffusion-with-3d | 44.0 | 91.9±0.8 | 43.4±2.8 | 37.0±2.2 | 0.0±0.0 |
rvt-2-learning-precise-manipulation-from-few | 44.0 | 89.1±0.8 | 51.0±2.3 | 36.0±2.2 | 0.0±0.0 |
instruction-driven-history-aware-policies-for | 30.4 | 60.3±1.5 | 26.1±1.4 | 35.1±1.7 | 0.0±0.0 |
towards-generalizable-vision-language-robotic | 45.7 | 94.3±1.4 | 49.9±2.2 | 38.1±1.1 | 0.3±0.3 |