arXiv (All)
open access
SHARE: Sharing Human Actions across Robot Embodiments through Unified Retargeting and Tracking
The central challenge in reusing human actions across robots is the need to realize shared intent through incompatible kinematics, dynamics, and control interfaces. We present SHARE, which decomposes action sharing into two connected stages---reference generation and feedback execution---and uses na
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
- Humanoid World Action Model With Joint State--Action Generation#1249451
- Official Review · ICLR 2026#787077
- KINO: A Keyframe Interface for VLM Planning and Whole-Body Control in Humanoid Loco-Manipulation#1013026
- SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos#1342509
- Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution#1345318
Record · ID 1325077
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