arXiv (All)
open access
DexWeave: Learning Dexterous Humanoid Loco-Manipulation from Human Demonstrations
Learning dexterous humanoid loco-manipulation from human demonstrations requires transferring not only human motion, but also the coordinated interaction structure underlying the demonstrated behavior. This is challenging because embodiment differences distort the coupling among body motion, wrist p
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
- DexTaG: Tactile-as-Guidance in Reinforcement Learning for Dexterous Manipulation#1118955
- Dex-X: Learning Visual-Tactile Dexterous Manipulation From Human Videos with Simulated Interaction#987894
- Weave: Learning Whole-Body Dexterous Loco-Manipulation from Human-Object Interactions#1122695
- Morphometric Imitation: From Morphology and Contact Aware Hand Retargeting to Sim-to-Real Visuomotor Policy#1076316
- One Demonstration, Many Objects: Generalizing Manipulation via Local Contact Geometry#926242
Record · ID 1128982
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