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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

The paper introduces X-NavDP, a diffusion-based visual navigation policy that is fine‑tuned with a novel Group Q-score Reweighted Matching (GQRM) reinforcement learning framework t…

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.RO2026

InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization

Haoxiang Ma, Junhao Cai, Xiaoxu Xu +26

Unified models for robot manipulation aim to equip one policy with both the semantic priors of pretrained VLMs and the physical dynamics learned through future prediction. In pract…

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…

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…