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Robert Skulstad
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- affiliation: Norwegian University of Science and Technology, Trondheim, Norway
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2020 – today
- 2024
- [j8]Tongtong Wang, Robert Skulstad, Motoyasu Kanazawa, Guoyuan Li, Houxiang Zhang:
Learning Nonlinear Dynamics of Ocean Surface Vessel With Multistep Constraints. IEEE Trans. Ind. Informatics 20(9): 10847-10856 (2024) - [j7]Xu Cheng, Guoyuan Li, Robert Skulstad, Houxiang Zhang:
SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data. IEEE Trans. Intell. Transp. Syst. 25(5): 3352-3363 (2024) - 2023
- [j6]Houxiang Zhang, Guoyuan Li, Lars Ivar Hatledal, Yingguang Chu, André Listou Ellefsen, Peihua Han, Pierre Major, Robert Skulstad, Tongtong Wang, Hans Petter Hildre:
A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. IEEE Robotics Autom. Mag. 30(3): 6-19 (2023) - [c8]Shiyang Li, Tongtong Wang, Guoyuan Li, Robert Skulstad, Houxiang Zhang:
Multi-Step Ship Roll Motion Prediction Based on Bi-LSTM and Input Optimization. IECON 2023: 1-6 - [c7]Rahul Nath Raghunathan, Robert Skulstad, Guoyuan Li, Houxiang Zhang:
Design of Constraints for a Neural Network based Thrust Allocator for Dynamic Ship Positioning. IECON 2023: 1-6 - [c6]Motoyasu Kanazawa, Tongtong Wang, Robert Skulstad, Guoyuan Li, Houxiang Zhang:
Physics-data cooperative ship motion prediction with onboard wave radar for safe operations. ISIE 2023: 1-8 - 2022
- [j5]Tongtong Wang, Guoyuan Li, Lars Ivar Hatledal, Robert Skulstad, Vilmar Æsøy, Houxiang Zhang:
Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction. IEEE Trans. Ind. Informatics 18(3): 1781-1789 (2022) - [j4]Xu Cheng, Guoyuan Li, Peihua Han, Robert Skulstad, Shengyong Chen, Houxiang Zhang:
Data-Driven Modeling for Transferable Sea State Estimation Between Marine Systems. IEEE Trans. Intell. Transp. Syst. 23(3): 2561-2571 (2022) - [c5]Tongtong Wang, Robert Skulstad, Motoyasu Kanazawa, Lars Ivar Hatledal, Guoyuan Li, Houxiang Zhang:
Adaptive Data-driven Predictor of Ship Maneuvering Motion Under Varying Ocean Environments. ISoLA (4) 2022: 110-125 - [c4]Tongtong Wang, Robert Skulstad, Motoyasu Kanazawa, Guoyuan Li, Vilmar Æsøy, Houxiang Zhang:
Physics-informed Data-driven Approach for Ship Docking Prediction. RCAR 2022: 111-117 - [c3]Mingda Zhu, Robert Skulstad, Luman Zhao, Houxiang Zhang, Guoyuan Li:
MPC-based path planning for ship collision avoidance under COLREGS. SMC 2022: 1930-1935 - 2021
- [j3]Peihua Han, Guoyuan Li, Robert Skulstad, Stian Skjong, Houxiang Zhang:
A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j2]Robert Skulstad, Guoyuan Li, Thor I. Fossen, Bjørnar Vik, Houxiang Zhang:
A Hybrid Approach to Motion Prediction for Ship Docking - Integration of a Neural Network Model Into the Ship Dynamic Model. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [c2]Xu Cheng, Guoyuan Li, Robert Skulstad, Houxiang Zhang, Shengyong Chen:
SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation. IECON 2020: 5069-5074
2010 – 2019
- 2019
- [j1]Robert Skulstad, Guoyuan Li, Thor I. Fossen, Bjørnar Vik, Houxiang Zhang:
Dead Reckoning of Dynamically Positioned Ships: Using an Efficient Recurrent Neural Network. IEEE Robotics Autom. Mag. 26(3): 39-51 (2019) - [c1]Xu Cheng, Guoyuan Li, Robert Skulstad, Shengyong Chen, Hans Petter Hildre, Houxiang Zhang:
Modeling and Analysis of Motion Data from Dynamically Positioned Vessels for Sea State Estimation. ICRA 2019: 6644-6650
Coauthor Index
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