Seeing the Invisible: Physics-Guided Visual Prompting for Temperature- and Radiation-Aware VLA Navigation
cs.RO, cs.AI, cs.LG
Submitted: 2026-10-06
Updated: 2026-10-06
Sources
- Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System
- ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation
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- Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines
- NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation
- OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot Navigation
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- Efficient-VLN: A Simple yet Strong Baseline for Efficient Vision-Language Navigation
- SPAN-Nav: Generalized Spatial Awareness for Versatile Embodied Navigation
- SEDualVLN: A Spatially-Enhanced Dual-System Framework for Vision-Language Navigation
- OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation
- GeoVLA: Empowering 3D Representations in Vision-Language-Action Models
- CoRE-VLA: Towards Scalable and Robust Vision-Language-Action Modeling via Conditional Routing of Experts
- Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation
- Green for Go, Red for No: Visual Grounding via Semantic Segmentation for VLA Navigation Policies
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