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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Wanhao Liu

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Preprint Oct 2026

FlowMoDE: Coarse-to-fine Flow Matching for Detail-aware Sim-to-Real Monocular Depth Estimation

Monocular depth estimation is a fundamental capability for 3D spatial perception in robotic and intelligent systems. While data-driven discriminative methods have achieved compelling performance for monocular depth estimation, generative approaches can reconstruct fine structural details with stronger generalization. H...

Liang-Jing Shao, Wan-Hao Liu, Jin-Song Lin et al. · 0 citations
Preprint Oct 2026

RoPE-Flow: Monocular Vision-based Robot Pose Estimation via 2D Graph-Conditioned 3D Flow Matching

Camera-to-robot pose estimation from a monocular image is significant for vision-based robot navigation and control. However, recovering 3D structural features from 2D observations remains a challenging task. Existing camera-to-robot pose estimation methods either rely on time-consuming iterative rendering or involve s...

Liang-Jing Shao, Wan-Hao Liu, Zhi-Wei Fang et al. · 0 citations
Preprint Aug 2026

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation

EndoWAM is presented, which is, to the authors' knowledge, the first WAM for generalizable robotic endoscopic navigation and introduces future grounding, which predicts task-relevant target regions in future observations from intermediate denoising features of a video world model.

Jinsong Lin, Zikang Pan, Wanhao Liu et al. · 1 citation

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