Chih-yung Wen — accepted AI-conference papers

2026

STAGE: Structure-Adaptive Graph-Encoded Multi-Agent Policy Gradient for Moving Target Search in Uncertain Topological Networks

Qihang Peng, Lizhou Zhu, Lekai Chen, Hongliang Guo, Chih-yung Wen

ICRA 2026poster

This paper investigates the multi-robot efficient search (MuRES) problem in uncertain topological networks. One unique characteristic of the studied problem is that the topology of the underlying network is uncertain, posing great challenges to canonical MuRES solutions which presumes a fixed networ…

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2025

AVIP: Acoustic-Visual-Inertial-Pressure Fusion-based Underwater Localization System with Multi-Centric Calibration

Yuanbo Xue, Yang Hu, Dejin Zhang, Chih-Yung Wen, Bing Wang

IROS 2025

Underwater localization is a crucial capability for ensuring robust and accurate vehicle navigation. Although various well-developed localization systems exist, their primary focus is on ground and aerial applications. The challenges posed by underwater environments, such as sparse textures and dyna

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