Modeling and Analysis of Motion Data from Dynamically Positioned Vessels for Sea State Estimation. - Xu Cheng 003; Guoyuan Li; Robert Skulstad; Shengyong Chen; Hans Petter Hildre; Houxiang Zhang (ICRA, 2019)

Dead Reckoning of Dynamically Positioned Ships: Using an Efficient Recurrent Neural Network. - Robert Skulstad; Guoyuan Li; Thor I. Fossen; Bjørnar Vik; Houxiang Zhang (IEEE Robotics Autom. Mag., 2019)

SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation. - Xu Cheng 003; Guoyuan Li; Robert Skulstad; Houxiang Zhang; Shengyong Chen (IECON, 2020)

A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data. - Peihua Han; Guoyuan Li; Robert Skulstad; Stian Skjong; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2021)

A Hybrid Approach to Motion Prediction for Ship Docking - Integration of a Neural Network Model Into the Ship Dynamic Model. - Robert Skulstad; Guoyuan Li; Thor I. Fossen; Bjørnar Vik; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2021)

Adaptive Data-driven Predictor of Ship Maneuvering Motion Under Varying Ocean Environments. - Tongtong Wang; Robert Skulstad; Motoyasu Kanazawa; Lars Ivar Hatledal; Guoyuan Li; Houxiang Zhang (ISoLA (4), 2022)

Physics-informed Data-driven Approach for Ship Docking Prediction. - Tongtong Wang; Robert Skulstad; Motoyasu Kanazawa; Guoyuan Li; Vilmar Æsøy; Houxiang Zhang (RCAR, 2022)

MPC-based path planning for ship collision avoidance under COLREGS. - Mingda Zhu; Robert Skulstad; Luman Zhao; Houxiang Zhang; Guoyuan Li (SMC, 2022)

Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction. - Tongtong Wang; Guoyuan Li; Lars Ivar Hatledal; Robert Skulstad; Vilmar Æsøy; Houxiang Zhang (IEEE Trans. Ind. Informatics, 2022)

Data-Driven Modeling for Transferable Sea State Estimation Between Marine Systems. - Xu Cheng 003; Guoyuan Li; Peihua Han; Robert Skulstad; Shengyong Chen; Houxiang Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Multi-Step Ship Roll Motion Prediction Based on Bi-LSTM and Input Optimization. - Shiyang Li; Tongtong Wang; Guoyuan Li; Robert Skulstad; Houxiang Zhang (IECON, 2023)

Design of Constraints for a Neural Network based Thrust Allocator for Dynamic Ship Positioning. - Rahul Nath Raghunathan; Robert Skulstad; Guoyuan Li; Houxiang Zhang (IECON, 2023)

Physics-data cooperative ship motion prediction with onboard wave radar for safe operations. - Motoyasu Kanazawa; Tongtong Wang; Robert Skulstad; Guoyuan Li; Houxiang Zhang (ISIE, 2023)

A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. - Houxiang Zhang; Guoyuan Li; Lars Ivar Hatledal; Yingguang Chu; André Listou Ellefsen; Peihua Han; Pierre Major; Robert Skulstad; Tongtong Wang; Hans Petter Hildre (IEEE Robotics Autom. Mag., 2023)

SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data. - Xu Cheng 003; Guoyuan Li; Robert Skulstad; Houxiang Zhang (IEEE Trans. Intell. Transp. Syst., 2024)

Learning Nonlinear Dynamics of Ocean Surface Vessel With Multistep Constraints. - Tongtong Wang; Robert Skulstad; Motoyasu Kanazawa; Guoyuan Li; Houxiang Zhang (IEEE Trans. Ind. Informatics, 2024)

An AIS Data-Driven Hybrid Approach to Ship Trajectory Prediction. - Mingda Zhu; Peihua Han; Chunlin Wang; Robert Skulstad; Houxiang Zhang; Guoyuan Li (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Physics-Informed Neural Networks for Robust System Identification of Ship Roll Dynamics With Noise Resilience. - Tongtong Wang; Robert Skulstad; Houxiang Zhang (IEEE Trans. Ind. Informatics, 2025)

Deep Autoregressive Roll Motion Prediction of Marine Vessels. - Peihua Han; Robert Skulstad; Houxiang Zhang (IEEE Trans. Ind. Electron., 2025)