arXiv (All)
open access
Marginal Calibration Does Not Compose: Hidden Dependence in Modular Robot Navigation
Robotic systems are typically composed of multiple independently developed modules that work together to perceive, predict, and act in the environment. Although each module may perform reliably in isolation, composing them does not necessarily preserve uncertainty calibration at the system level. In
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
- SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators#986749
- Posterior Geometry and Identifiability in Multi-Response Bayesian Calibration#819077
- Posterior Geometry and Identifiability in Multi-Response Bayesian Calibration#809085
- Fusion or Confusion? Potential and Challenges in Fusion of Onboard Sensors and V2X Data in Cooperative Perception#346478
- Federated Calibration of Motion Uncertainty for UAV Tracking in Multi-Operator ISAC Systems#1144405
Record · ID 1049467
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