Robert Skulstad
Om
Research interests
My research interests mainly lie within ship maneuvering and ship decision support systems. Specifically how machine learning can be used to aid these applications.
Project experience
- 2017-2019: DeepTek Pre-project
- Associated with the SFI MOVE project
Detailed information could be found from Intelligent Systems Lab.
Publikasjoner
2024
-
Zhu, Mingda;
Han, Peihua;
Wang, Chunlin;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
An AIS Data-Driven Hybrid Approach to Ship Trajectory Prediction.
IEEE Transactions on Systems, Man & Cybernetics. Systems
Vitenskapelig artikkel
-
Li, Shiyang;
Wang, Tongtong;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang.
(2024)
Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing.
Ocean Engineering
Vitenskapelig artikkel
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
Prediction-enabled path planning for multi-ship encounters in Oslofjord.
Ocean Engineering
Vitenskapelig artikkel
-
Wang, Tongtong;
Skulstad, Robert;
Kanazawa, Motoyasu;
Li, Guoyuan;
Zhang, Houxiang.
(2024)
Learning Nonlinear Dynamics of Ocean Surface Vessel with Multistep Constraints.
IEEE Transactions on Industrial Informatics
Vitenskapelig artikkel
-
Han, Peihua;
Skulstad, Robert;
Zhang, Houxiang.
(2024)
Deep Autoregressive Roll Motion Prediction of Marine Vessels.
IEEE transactions on industrial electronics (1982. Print)
Vitenskapelig artikkel
-
Zhu, Mingda;
Han, Peihua;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
A Deep Generative Model for Multi-Ship Trajectory Forecasting With Interaction Modeling.
Journal of Offshore Mechanics and Arctic Engineering
Vitenskapelig artikkel
2023
-
Li, Shiyang;
Wang, Tongtong;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang.
(2023)
Multi-step Ship Roll Motion Prediction Based on Bi-LSTM and Input Optimization.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Raghunathan, Rahul Nath;
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Design of Constraints for a Neural Network based Thrust Allocator for Dynamic Ship Positioning.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang.
(2023)
SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data.
IEEE transactions on intelligent transportation systems (Print)
Vitenskapelig artikkel
-
Kanazawa, Motoyasu;
Wang, Tongtong;
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Physics-data cooperative ship motion prediction with onboard wave radar for safe operations
.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kanazawa, Motoyasu;
Wang, Tongtong;
Ichinose, Yasuo;
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Bridging similar ships’ dynamics for safeguarding the system identification of maneuvering models.
Ocean Engineering
Vitenskapelig artikkel
-
Wang, Tongtong;
Skulstad, Robert;
Kanazawa, Motoyasu;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Knowledge transfer strategy for enhancement of ship maneuvering model.
Ocean Engineering
Vitenskapelig artikkel
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2023)
Probability-Based Ship Encounter Classification Using AIS Data.
IEEE Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Skulstad, Robert;
Li, Guoyuan;
Fossen, Thor I.;
Zhang, Houxiang.
(2023)
Constrained control allocation for dynamic ship positioning using deep neural network.
Ocean Engineering
Vitenskapelig artikkel
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
Vitenskapelig artikkel
-
Zhang, Houxiang;
Li, Guoyuan;
Hatledal, Lars Ivar;
Chu, Yingguang;
Ellefsen, André Listou;
Han, Peihua.
(2022)
A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies.
IEEE robotics & automation magazine
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.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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
Vitenskapelig artikkel
-
Zhu, Mingda;
Skulstad, Robert;
Zhao, Luman;
Zhang, Houxiang;
Li, Guoyuan.
(2022)
MPC-based path planning for ship collision avoidance under COLREGS.
IEEE conference proceedings
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.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021
-
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
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
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
Vitenskapelig artikkel
-
Raghunathan, Rahul Nath;
Zhang, Houxiang;
Li, Guoyuan;
Skulstad, Robert.
(2021)
Development of a Deep Learning based Thrust Allocator for Dynamic Positioning of Fully Actuated Vessels.
NTNU
Mastergradsoppgave
-
Skulstad, Robert.
(2021)
Data-Based Modelling of Ships for Motion Prediction and Control Allocation.
NTNU
Doktorgradsavhandling
-
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
-
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)
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
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
Vitenskapelig artikkel
-
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
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.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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
Vitenskapelig artikkel
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang;
Chen, Shengyong.
(2020)
SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2019
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Major, Pierre Yann;
Chen, Shengyong;
Hildre, Hans Petter.
(2019)
Data-driven uncertainty and sensitivity analysis for ship motion modeling in offshore operations.
Ocean Engineering
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
Vitenskapelig artikkel
-
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
.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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
Vitenskapelig artikkel
-
Shuai, Yonghui;
Li, Guoyuan;
Cheng, Xu;
Skulstad, Robert;
Xu, jinshan;
Liu, Honghai.
(2019)
An efficient neural-network based approach to automatic ship docking.
Ocean Engineering
Vitenskapelig artikkel
2018
-
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang;
Fossen, Thor I..
(2018)
A Neural Network Approach to Control Allocation of Ships for Dynamic Positioning.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Cheng, Xu;
Skulstad, Robert;
Li, Guoyuan;
Chen, Shengyong;
Hildre, Hans Petter;
Zhang, Houxiang.
(2018)
A data-driven sensitivity analysis approach for dynamically
positioned vessels.
Linköping University Electronic Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
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
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
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Zhu, Mingda;
Han, Peihua;
Wang, Chunlin;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
An AIS Data-Driven Hybrid Approach to Ship Trajectory Prediction.
IEEE Transactions on Systems, Man & Cybernetics. Systems
Vitenskapelig artikkel
-
Li, Shiyang;
Wang, Tongtong;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang.
(2024)
Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing.
Ocean Engineering
Vitenskapelig artikkel
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
Prediction-enabled path planning for multi-ship encounters in Oslofjord.
Ocean Engineering
Vitenskapelig artikkel
-
Wang, Tongtong;
Skulstad, Robert;
Kanazawa, Motoyasu;
Li, Guoyuan;
Zhang, Houxiang.
(2024)
Learning Nonlinear Dynamics of Ocean Surface Vessel with Multistep Constraints.
IEEE Transactions on Industrial Informatics
Vitenskapelig artikkel
-
Han, Peihua;
Skulstad, Robert;
Zhang, Houxiang.
(2024)
Deep Autoregressive Roll Motion Prediction of Marine Vessels.
IEEE transactions on industrial electronics (1982. Print)
Vitenskapelig artikkel
-
Zhu, Mingda;
Han, Peihua;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
A Deep Generative Model for Multi-Ship Trajectory Forecasting With Interaction Modeling.
Journal of Offshore Mechanics and Arctic Engineering
Vitenskapelig artikkel
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang.
(2023)
SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data.
IEEE transactions on intelligent transportation systems (Print)
Vitenskapelig artikkel
-
Kanazawa, Motoyasu;
Wang, Tongtong;
Ichinose, Yasuo;
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Bridging similar ships’ dynamics for safeguarding the system identification of maneuvering models.
Ocean Engineering
Vitenskapelig artikkel
-
Wang, Tongtong;
Skulstad, Robert;
Kanazawa, Motoyasu;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Knowledge transfer strategy for enhancement of ship maneuvering model.
Ocean Engineering
Vitenskapelig artikkel
-
Skulstad, Robert;
Li, Guoyuan;
Fossen, Thor I.;
Zhang, Houxiang.
(2023)
Constrained control allocation for dynamic ship positioning using deep neural network.
Ocean Engineering
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
Zhang, Houxiang;
Li, Guoyuan;
Hatledal, Lars Ivar;
Chu, Yingguang;
Ellefsen, André Listou;
Han, Peihua.
(2022)
A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies.
IEEE robotics & automation magazine
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
Vitenskapelig artikkel
-
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
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
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
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
-
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)
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
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
Vitenskapelig artikkel
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Major, Pierre Yann;
Chen, Shengyong;
Hildre, Hans Petter.
(2019)
Data-driven uncertainty and sensitivity analysis for ship motion modeling in offshore operations.
Ocean Engineering
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
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
Vitenskapelig artikkel
-
Shuai, Yonghui;
Li, Guoyuan;
Cheng, Xu;
Skulstad, Robert;
Xu, jinshan;
Liu, Honghai.
(2019)
An efficient neural-network based approach to automatic ship docking.
Ocean Engineering
Vitenskapelig artikkel
-
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang;
Fossen, Thor I..
(2018)
A Neural Network Approach to Control Allocation of Ships for Dynamic Positioning.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
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
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
Vitenskapelig artikkel
Del av bok/rapport
-
Li, Shiyang;
Wang, Tongtong;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang.
(2023)
Multi-step Ship Roll Motion Prediction Based on Bi-LSTM and Input Optimization.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Raghunathan, Rahul Nath;
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Design of Constraints for a Neural Network based Thrust Allocator for Dynamic Ship Positioning.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kanazawa, Motoyasu;
Wang, Tongtong;
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Physics-data cooperative ship motion prediction with onboard wave radar for safe operations
.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2023)
Probability-Based Ship Encounter Classification Using AIS Data.
IEEE Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zhu, Mingda;
Skulstad, Robert;
Zhao, Luman;
Zhang, Houxiang;
Li, Guoyuan.
(2022)
MPC-based path planning for ship collision avoidance under COLREGS.
IEEE conference proceedings
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.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Wang, Tongtong;
Li, Guoyuan;
Skulstad, Robert;
Æsøy, Vilmar;
Zhang, Houxiang.
(2020)
An effective model-based thruster failure detection method for dynamically positioned ships.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang;
Chen, Shengyong.
(2020)
SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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
.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Cheng, Xu;
Skulstad, Robert;
Li, Guoyuan;
Chen, Shengyong;
Hildre, Hans Petter;
Zhang, Houxiang.
(2018)
A data-driven sensitivity analysis approach for dynamically
positioned vessels.
Linköping University Electronic Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Rapport
-
Raghunathan, Rahul Nath;
Zhang, Houxiang;
Li, Guoyuan;
Skulstad, Robert.
(2021)
Development of a Deep Learning based Thrust Allocator for Dynamic Positioning of Fully Actuated Vessels.
NTNU
Mastergradsoppgave
-
Skulstad, Robert.
(2021)
Data-Based Modelling of Ships for Motion Prediction and Control Allocation.
NTNU
Doktorgradsavhandling
Undervisning
Emner
Formidling
2022
-
Vitenskapelig foredragSkulstad, Robert. (2022) Hybrid modelling for ship motion prediction. SFI MOVE SFI MOVE summer conference , Ålesund 2022-06-14 - 2022-11-14
2017
-
Vitenskapelig foredragSkulstad, Robert. (2017) Ship motion prediction using neural networks. Move autumn conference 2017 2017-11-22 - 2017-11-22
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Faglig foredragKyllingstad, Lars Tandle; Skulstad, Robert. (2017) MOVE project 3: Simulation technology and virtual prototyping as a common approach from design to operation. NTNU MOVE spring conference 2017 , Ålesund 2017-04-05 -