2022

• Kanazawa, Motoyasu; Skulstad, Robert; Wang, Tongtong; Li, Guoyuan; Hatledal, Lars Ivar; Zhang, Houxiang. (2022) A Physics-Data Co-Operative Ship Dynamic Model for a Docking Operation. IEEE Sensors Journal. volum 22 (11).
  Vitenskapelig artikkel
• Kanazawa, Motoyasu; Wang, Tongtong; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang. (2022) Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction. Ocean Engineering. volum 266 (4).
  Vitenskapelig artikkel
• Wang, Tongtong; Skulstad, Robert; Kanazawa, Motoyasu; Hatledal, Lars Ivar; Li, Guoyuan; Zhang, Houxiang. (2022) Adaptive Data-driven Predictor of Ship Maneuvering Motion Under Varying Ocean Environments. Leveraging Applications of Formal Methods, Verification and Validation Practice 11th International Symposium, ISoLA 2022 Rhodes, Greece, October 22–30, 2022 Proceedings, Part IV.
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Wang, Tongtong; Skulstad, Robert; Kanazawa, Motoyasu; Li, Guoyuan; Æsøy, Vilmar; Zhang, Houxiang. (2022) Physics-informed Data-driven Approach for Ship Docking Prediction. 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR).
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Zhang, Houxiang; Li, Guoyuan; Hatledal, Lars Ivar; Chu, Yingguang; Ellefsen, André Listou; Han, Peihua; Major, Pierre Yann; Skulstad, Robert; Wang, Tongtong; Hildre, Hans Petter. (2022) A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. IEEE robotics & automation magazine.
  Vitenskapelig artikkel
• Zhu, Mingda; Skulstad, Robert; Zhao, Luman; Zhang, Houxiang; Li, Guoyuan. (2022) MPC-based path planning for ship collision avoidance under COLREGS. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2021

• Cheng, Xu; Li, Guoyuan; Han, Peihua; Skulstad, Robert; Chen, Shengyong; Zhang, Houxiang. (2021) Data-Driven Modeling for Transferable Sea State Estimation between Marine Systems. IEEE transactions on intelligent transportation systems (Print). volum 23 (3).
  Vitenskapelig artikkel
• Han, Peihua; Li, Guoyuan; Skulstad, Robert; Skjong, Stian; Zhang, Houxiang. (2021) A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data. IEEE Transactions on Instrumentation and Measurement. volum 70.
  Vitenskapelig artikkel
• Kanazawa, Motoyasu; Skulstad, Robert; Li, Guoyuan; Hatledal, Lars Ivar; Zhang, Houxiang. (2021) A multiple-output hybrid ship trajectory predictor with consideration for future command assumption. IEEE Sensors Journal.
  Vitenskapelig artikkel
• Skulstad, Robert. (2021) Data-Based Modelling of Ships for Motion Prediction and Control Allocation. 2021. ISBN 978-82-326-6605-8.
  Doktorgradsavhandling
• Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Wang, Tongtong; Zhang, Houxiang. (2021) A Co-operative Hybrid Model For Ship Motion Prediction. MIC Journal: Modeling, Identification and Control. volum 42 (1).
  Vitenskapelig artikkel
• Wang, Chunlin; Li, Guoyuan; Skulstad, Robert; Cheng, Xu; Osen, Ottar Laurits; Zhang, Houxiang. (2021) A sensitivity quantification approach to significance analysis of thrusters in dynamic positioning operations. Ocean Engineering. volum 223.
  Vitenskapelig artikkel
• Wang, Tongtong; Li, Guoyuan; Hatledal, Lars Ivar; Skulstad, Robert; Æsøy, Vilmar; Zhang, Houxiang. (2021) Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction. IEEE Transactions on Industrial Informatics. volum 18 (3).
  Vitenskapelig artikkel

2020

• Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang. (2020) A Neural Network-Based Sensitivity Analysis Approach for Data-Driven Modeling of Ship Motion. IEEE Journal of Oceanic Engineering. volum 45 (2).
  Vitenskapelig artikkel
• Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang; Chen, Shengyong. (2020) SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation. The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020).
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Hatledal, Lars Ivar; Skulstad, Robert; Li, Guoyuan; Styve, Arne; Zhang, Houxiang. (2020) Co-simulation as a Fundamental Technology for Twin Ships. MIC Journal: Modeling, Identification and Control. volum 41 (4).
  Vitenskapelig artikkel
• Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Vik, Bjørnar; Zhang, Houxiang. (2020) A Hybrid Approach to Motion Prediction for Ship Docking— Integration of a Neural Network Model into the Ship Dynamic Model. IEEE Transactions on Instrumentation and Measurement. volum 70.
  Vitenskapelig artikkel
• Wang, Tongtong; Li, Guoyuan; Skulstad, Robert; Æsøy, Vilmar; Zhang, Houxiang. (2020) An effective model-based thruster failure detection method for dynamically positioned ships. 2020 IEEE International Conference on Mechatronics and Automation.
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2019

• Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang. (2019) Modeling and Analysis of Motion Data from Dynamically Positioned Vessels for Sea State Estimation. 2019 International Conference on Robotics and Automation (ICRA 2019).
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Major, Pierre Yann; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang. (2019) Data-driven uncertainty and sensitivity analysis for ship motion modeling in offshore operations. Ocean Engineering. volum 179.
  Vitenskapelig artikkel
• Major, Pierre Yann; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang. (2019) Virtual prototyping: a case study of positioning systems for drilling operations in the Barents Sea. Ships and Offshore Structures. volum 14 (S1).
  Vitenskapelig artikkel
• Shuai, Yonghui; Li, Guoyuan; Cheng, Xu; Skulstad, Robert; Xu, jinshan; Liu, Honghai; Zhang, Houxiang. (2019) An efficient neural-network based approach to automatic ship docking. Ocean Engineering. volum 191.
  Vitenskapelig artikkel
• Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Vik, Bjørnar; Zhang, Houxiang. (2019) Dead reckoning of dynamically positioned ships: Using an efficient recurrent neural network. IEEE robotics & automation magazine. volum 26 (3).
  Vitenskapelig artikkel

2018

• Cheng, Xu; Skulstad, Robert; Li, Guoyuan; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang. (2018) A data-driven sensitivity analysis approach for dynamically positioned vessels. Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59).
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang; Fossen, Thor I.. (2018) A Neural Network Approach to Control Allocation of Ships for Dynamic Positioning. IFAC-PapersOnLine. volum 51 (29).
  Vitenskapelig artikkel

2015

• Skulstad, Robert; Syversen, Christoffer Lie; Merz, Mariann; Sokolova, Nadezda; Fossen, Thor I.; Johansen, Tor Arne. (2015) Autonomous net recovery of fixed-wing UAV with single-frequency carrier-phase differential GNSS. IEEE Aerospace and Electronic Systems Magazine. volum 30 (5).
  Vitenskapelig artikkel
• Skulstad, Robert; Syversen, Christoffer Lie; Merz, Mariann; Sokolova, Nadezda; Fossen, Thor I.; Johansen, Tor Arne. (2015) Net Recovery of UAV with Single-Frequency RTK GPS. IEEE Aerospace Conference. Proceedings. volum 2015-June.
  Vitenskapelig artikkel