Successful but Unsafe: An Analytical Benchmark for Revealing Collisions in Vision-and-Language Navigation
cs.RO
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/dinhieufam/vln-safe
Terminology
Sources
- AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent Space
- On Evaluation of Embodied Navigation Agents
- Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation
- Dynamic Control Barrier Function Regulation with Vision-Language Models for Safe, Adaptive, and Realtime Visual Navigation
- Where Did It Go Wrong? Capability-Oriented Failure Attribution for Vision-and-Language Navigation Agents
- Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments
- Verifiable Foundation Models for Robot Safety
- RynnBrain: Open Embodied Foundation Models
- GroundControl: Anticipating Navigation Failures in Vision-Language Agents via Trajectory-Consistent Uncertainty Estimates
- SpaceVLN: A Zero-Shot Vision-and-Language Navigation Agent with Online Spatial Cognitive Memory and Reasoning
- SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation
- Learning Robot Safety from Sparse Human Feedback using Conformal Prediction
- Uncertainty-Aware Gaussian Map for Vision-Language Navigation
- Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment
- Active Test-time Vision-Language Navigation
- Boosting Zero-Shot VLN via Abstract Obstacle Map-Based Waypoint Prediction with TopoGraph-and-VisitInfo-Aware Prompting
- AgenticNav: Zero-Shot Vision-and-Language Navigation as a Tool-Calling Harness
- One Agent to Guide Them All: Empowering MLLMs for Vision-and-Language Navigation via Explicit World Representation
- VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation
- HAM-VLN: Harnessing Hierarchical Agentic Memory for Zero-Shot Vision-and-Language Navigation
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