arXiv (All)
open access
KODA: Kinematics--Observation Data Alignment for Humanoid Learning from Human Egocentric Demonstration
Training humanoid whole-body vision-language-action (VLA) policies requires costly robot demonstrations with aligned robot-view observations and controller-compatible whole-body state-action labels. Egocentric human demonstrations offer scalable supervision but have misaligned views and sparse motio
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation#1325229
- UMI-Bridge: Action-Anchored Latent Alignment across Human and Robot Manipulation Data#1012432
- Humanoid World Action Model With Joint State--Action Generation#1249451
- G$^3$VLA: Geometric Inductive Bias for Vision-Language-Action Models#1354932
- EgoJEPA: Beyond Retargeting for Dexterous Manipulation from Egocentric Videos#1356240
Record · ID 1356488
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive