Continual Learning Average on Sim-to-Real Robotic Manipulation
63.3SRGeCo-SRT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GeCo-SRTbackbone=Geo-MoE, strategy=Geo-PER2026.02 | 63.3 | 26.5 | |
| Geo-MoE + PERbackbone=Geo-MoE, strategy=PER2026.02 | 55.7 | 29.6 | |
| Transic + PERbackbone=Transic, strategy=PER2026.02 | 40 | 55 | |
| Geo-MoE + EWCbackbone=Geo-MoE, strategy=EWC2026.02 | 38.3 | 49.5 | |
| Naive Fine-tuningmode=Fine-tuning2026.02 | 9.2 | 75 | |
| Direct Deploymode=Direct Deployment2026.02 | 3.1 | — |