RescueBench is a new diagnostic benchmark for multi-stage embodied search-and-rescue that shows no tested baselines complete the hardest tasks and identifies exploration and memory as independent failure modes.
Liu et al
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Qwen-RobotNav provides a parameterized navigation model trained on 15.6M samples with vision-language co-training that achieves SOTA results on benchmarks and zero-shot transfer to real robots.
G-DRAGON framework maps language commands to OSM coordinates via lightweight LLM for global planning and uses frontier exploration for local targets, outperforming baselines in simulation and completing real UGV person-search missions up to 500m.
GN0 curates GN-Matrix dataset, builds 3DGS simulator and GN-Bench, and trains BAE model via supervised learning plus DAgger and RL to unify VLN tasks and outperform prior methods on GN-Bench and VLN-CE.
A survey of UAV vision-and-language navigation that establishes a methodological taxonomy, reviews resources and challenges, and proposes a forward-looking research roadmap.
citing papers explorer
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Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System
Qwen-RobotNav provides a parameterized navigation model trained on 15.6M samples with vision-language co-training that achieves SOTA results on benchmarks and zero-shot transfer to real robots.
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G-DRAGON: Geospatial Reasoning and Dynamic Planning for Retrieval-Augmented Outdoor Navigation
G-DRAGON framework maps language commands to OSM coordinates via lightweight LLM for global planning and uses frontier exploration for local targets, outperforming baselines in simulation and completing real UGV person-search missions up to 500m.
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GN0: Toward a Unified Paradigm for Generation, Evaluation, and Policy Learning in Visual-Language Navigation
GN0 curates GN-Matrix dataset, builds 3DGS simulator and GN-Bench, and trains BAE model via supervised learning plus DAgger and RL to unify VLN tasks and outperform prior methods on GN-Bench and VLN-CE.
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Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap
A survey of UAV vision-and-language navigation that establishes a methodological taxonomy, reviews resources and challenges, and proposes a forward-looking research roadmap.