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20242026
most citedOpen-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

1 citations · 1 across the 7 of their papers we have counts for

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cs.RO2026

X-NavDP: Generalizing Navigation Diffusion Policy to Novel Behavior and Embodiments with Group Q-score Reweighted Matching

Tianyu Yang, Yiming Zeng, Wenzhe Cai +5

Pretraining navigation diffusion policies rely on large-scale expert demonstrations. These data are typically generated by a fully-informed oracle planner suited to a single nomina…

cs.RO2026

Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation

Jiaqi Peng, Xiqian Yu, Delin Feng +10

While recent Vision-Language-Action (VLA) models show promise toward generalist manipulation policies, they struggle with long-horizon tasks due to their Markovian nature-relying s…

cs.RO2025

LoGoPlanner: Localization Grounded Navigation Policy with Metric-aware Visual Geometry

Jiaqi Peng, Wenzhe Cai, Yuqiang Yang +3

Trajectory planning in unstructured environments is a fundamental and challenging capability for mobile robots. Traditional modular pipelines suffer from latency and cascading erro…

cs.RO2025

Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-and-Language Navigation

Meng Wei, Chenyang Wan, Jiaqi Peng +8

While recent large vision-language models (VLMs) have improved generalization in vision-language navigation (VLN), existing methods typically rely on end-to-end pipelines that map…

cs.RO2025

StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling

Meng Wei, Chenyang Wan, Xiqian Yu +9

Vision-and-Language Navigation (VLN) in real-world settings requires agents to process continuous visual streams and generate actions with low latency grounded in language instruct…

cs.RO2025

NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance

Wenzhe Cai, Jiaqi Peng, Yuqiang Yang +6

Learning to navigate in dynamic and complex open-world environments is a critical yet challenging capability for autonomous robots. Existing approaches often rely on cascaded modul…