The paper proposes statistical success rate upper bounds for LLM planner and reactive navigator subsystems in zero-shot VLN and reports a perception saturation phenomenon from evaluations on 3D models.
Sfco-nav: Efficient zero-shot visual language navigation via collaboration of slow llm and fast attributed graph alignment,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A learned context-energy term in port-Hamiltonian policies creates selective risk navigation that activates evasive forces only when safer paths are available.
citing papers explorer
-
Exploring Bottlenecks in VLM-LLM Navigation: How 3D Scene Understanding Capability Impacts Zero-Shot VLN
The paper proposes statistical success rate upper bounds for LLM planner and reactive navigator subsystems in zero-shot VLN and reports a perception saturation phenomenon from evaluations on 3D models.
-
Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation
A learned context-energy term in port-Hamiltonian policies creates selective risk navigation that activates evasive forces only when safer paths are available.