| EgoRecovery: Acquiring Failure Recovery Ability Through Human Recovery Demonstration |
EgoRecovery |
2026 |
2607.19745 |
Human-data |
arXiv
Code
Opt
|
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| EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data |
EgoScale |
2026 |
2602.16710 |
|
arXiv
Code
Opt
|
|
| HELP: HUMAN-EFFICIENT LARGE-SCALE ROBOT
POST-TRAINING WITH ROLLOUT SEGMENTATION |
HELP |
2026 |
2607.09776 |
human-in-the-loop |
arXiv
Code
Opt
|
|
| RISE: Self-Improving Robot Policy with Compositional World Model |
RISE |
2026 |
2602.11075 |
RL |
arXiv
Code
Opt
|
|
| RoboVIP: Multi-View Video Generation with Visual Identity Prompting Augments Robot Manipulation |
RoboVIP |
2026 |
2601.05241 |
Aug |
arXiv
Code
Opt
|
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| STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning |
STEAM |
2026 |
2606.29834 |
|
arXiv
Code
Opt
|
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| WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models |
WM-DAgger |
2026 |
2604.11351 |
Aug |
arXiv
Code
Opt
|
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| CLASS: Contrastive Learning via Action Sequence
Supervision for Robot Manipulation |
CLASS |
2025 |
2508.01600 |
contrastive-learn |
arXiv
Code
Opt
|
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| Contrastive Representation Regularization for Vision-Language-Action Models |
RS-CL |
2025 |
2510.01711 |
contrastive-learn |
arXiv
Code
Opt
|
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| Diagnose, Correct, and Learn from Manipulation Failures via Visual Symbols |
ViFailback |
2025 |
2512.02787 |
Benchmark |
arXiv
Code
Opt
|
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| RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction |
RaC |
2025 |
2509.07953 |
human-in-the-loop |
arXiv
Code
Opt
|
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| SELF-IMPROVING VISION-LANGUAGE-ACTION MODELS WITH DATA GENERATION VIA RESIDUAL RL |
PLD |
2025 |
2511.00091 |
RL |
arXiv
Code
Opt
|
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| EgoMimic: Scaling Imitation Learning via Egocentric Video |
EgoMimic |
2024 |
2410.24221 |
|
arXiv
Code
Opt
|
|