Chengfeng Jia — accepted AI-conference papers

2025

Uncertain-aware Informative Task Planning and Assignment for Multiple-UUVs Cooperative Underwater Exploration

Chengfeng Jia, Fen Liu, Yun Lu, Na Zhang, Rong Su

IROS 2025

This paper presents an uncertainty-aware exploration framework for cooperative underwater operations using multiple unmanned underwater vehicles (UUVs). The proposed framework leverages prior environmental information to iteratively integrate task planning, task assignment, and prior belief updating

Cited by 0 Source ↗Scholar ↗

2025

Underwater target 6D State Estimation via UUV Attitude Enhance Observability

Fen Liu, Chengfeng Jia, Na Zhang, Shenghai Yuan, Rong Su

IROS 2025

Accurate relative state observation of Unmanned Underwater Vehicles (UUVs) for tracking uncooperative targets remains a significant challenge due to the absence of GPS, complex underwater dynamics, and sensor limitations. Existing localization approaches rely on either global positioning infrastruct

Cited by 1 Source ↗Scholar ↗