Junyang Wu — accepted AI-conference papers

2025

R2Nav: Robust, Real-time Test Time Adaptation for Robot Assisted Endoluminal Navigation

Junyang Wu, Yimin Chu, Haixia Peng, Yun Gu, Guang-Zhong Yang

IROS 2025

Robot assisted endoluminal intervention is an emerging tool for treating luminal lesions. Vision-based endoluminal navigation, particularly through video-CT registration, is a tangible way of obtaining absolute camera position information. By using pre-operative CT data, accurate endoscope localizat

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2025

Sim2real Within 5 Minutes: Efficient Domain Transfer with Stylized Gaussian Splatting for Endoscopic Images

Junyang Wu, Yun Gu, Guang-Zhong Yang

ICRA 2025

Robot assisted endoluminal intervention is an emerging technique for both benign and malignant luminal lesions. With vision-based navigation, when combined with pre-operative imaging data as priors, it is possible to recover position and pose of the endoscope without the need of additional sensors.

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