arXiv (All)
open access
Preserving Unstable Modes Through Inverse Dynamics in JEPA World Models
Robotic systems often exhibit unstable modes, along which small perturbations and disturbances can cause unbounded growth unless corrected through feedback. Controlling such systems from high-dimensional visual observations requires representations that preserve these modes. Joint-embedding predicti
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
- Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision#1034609
- Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision#978453
- RM-WAM: Reliable Memory-Augmented World Action Models for Long-Horizon Robot Manipulation#1326555
- MVG-WAM: Multiple View Geometry-Aware World-Action Modeling for Robotic Manipulation#1142101
- Online adaptive non-intrusive model reduction via manifold interpolation and subspace updates: application to FSI convergence acceleration#1123293
Record · ID 1216915
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