EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations
Paper • 2606.12604 • Published
Large artifacts from the independent, from-scratch reproduction of EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations (arXiv:2606.12604; no official code exists).
Code + docs + small result artifacts: https://github.com/physercoe/egoengine-repro
Folders:
policy-checkpoints/ — final Appendix-D flow-matching policy checkpoints
(best.pt, last.pt, TorchScript export best_ts.pt) + normalization
stats (stats.npz, dataset_meta.json). ~235 MB.retarget-outputs/ — mink-IK-retargeted bimanual motions for all 16 TACO
demonstration sequences (trajectory_kinematic.npz per sequence +
retarget_report.json + error/QA plots). ~201 MB.rl-checkpoints/ — residual-PPO checkpoints, tensorboard logs and
eval_residual.json results for the escalated refine chunks (local +
remote A800 batch runs). ~51 MB.Each folder has its own README with provenance (scripts, configs) and license notes. See the GitHub repo README for headline results and honest limitations (sim-only, thin-data policy proof, RL stage under budget).