Robert Skulstad
About
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.
Publications
2024
-
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
Academic article
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
Prediction-enabled path planning for multi-ship encounters in Oslofjord.
Ocean Engineering
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
2023
-
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
Academic article
-
Wang, Tongtong;
Skulstad, Robert;
Kanazawa, Motoyasu;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Knowledge transfer strategy for enhancement of ship maneuvering model.
Ocean Engineering
Academic article
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2023)
Probability-Based Ship Encounter Classification Using AIS Data.
IEEE Press
Academic chapter/article/Conference paper
-
Skulstad, Robert;
Li, Guoyuan;
Fossen, Thor I.;
Zhang, Houxiang.
(2023)
Constrained control allocation for dynamic ship positioning using deep neural network.
Ocean Engineering
Academic article
-
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)
Academic chapter/article/Conference paper
-
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)
Academic chapter/article/Conference paper
-
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)
Academic article
-
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)
Academic chapter/article/Conference paper
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
Academic article
-
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
Academic article
-
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
Academic chapter/article/Conference paper
-
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
Academic article
-
Zhu, Mingda;
Skulstad, Robert;
Zhao, Luman;
Zhang, Houxiang;
Li, Guoyuan.
(2022)
MPC-based path planning for ship collision avoidance under COLREGS.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
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
Academic chapter/article/Conference paper
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Masters thesis
-
Skulstad, Robert.
(2021)
Data-Based Modelling of Ships for Motion Prediction and Control Allocation.
NTNU
Doctoral dissertation
-
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
Academic article
-
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)
Academic article
-
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
Academic article
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
Academic article
-
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
Academic article
-
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
Academic chapter/article/Conference paper
-
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
Academic article
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang;
Chen, Shengyong.
(2020)
SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation.
IEEE conference proceedings
Academic chapter/article/Conference paper
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
Academic article
-
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
Academic article
-
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)
Academic chapter/article/Conference paper
-
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
Academic article
-
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
Academic article
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
Academic article
-
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
Academic chapter/article/Conference paper
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
Academic article
-
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
Academic article
Journal publications
-
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
Academic article
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2024)
Prediction-enabled path planning for multi-ship encounters in Oslofjord.
Ocean Engineering
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
Wang, Tongtong;
Skulstad, Robert;
Kanazawa, Motoyasu;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Knowledge transfer strategy for enhancement of ship maneuvering model.
Ocean Engineering
Academic article
-
Skulstad, Robert;
Li, Guoyuan;
Fossen, Thor I.;
Zhang, Houxiang.
(2023)
Constrained control allocation for dynamic ship positioning using deep neural network.
Ocean Engineering
Academic article
-
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)
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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)
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
Skulstad, Robert;
Li, Guoyuan;
Zhang, Houxiang;
Fossen, Thor I..
(2018)
A Neural Network Approach to Control Allocation of Ships for Dynamic Positioning.
IFAC-PapersOnLine
Academic article
-
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
Academic article
-
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
Academic article
Part of book/report
-
Zhu, Mingda;
Tian, Weiwei;
Skulstad, Robert;
Zhang, Houxiang;
Li, Guoyuan.
(2023)
Probability-Based Ship Encounter Classification Using AIS Data.
IEEE Press
Academic chapter/article/Conference paper
-
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)
Academic chapter/article/Conference paper
-
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)
Academic chapter/article/Conference paper
-
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)
Academic chapter/article/Conference paper
-
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
Academic chapter/article/Conference paper
-
Zhu, Mingda;
Skulstad, Robert;
Zhao, Luman;
Zhang, Houxiang;
Li, Guoyuan.
(2022)
MPC-based path planning for ship collision avoidance under COLREGS.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
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
Academic chapter/article/Conference paper
-
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
Academic chapter/article/Conference paper
-
Cheng, Xu;
Li, Guoyuan;
Skulstad, Robert;
Zhang, Houxiang;
Chen, Shengyong.
(2020)
SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
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)
Academic chapter/article/Conference paper
-
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
Academic chapter/article/Conference paper
Report
-
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
Masters thesis
-
Skulstad, Robert.
(2021)
Data-Based Modelling of Ships for Motion Prediction and Control Allocation.
NTNU
Doctoral dissertation
Teaching
Courses
Knowledge Transfer
2022
-
Academic lectureSkulstad, Robert. (2022) Hybrid modelling for ship motion prediction. SFI MOVE SFI MOVE summer conference , Ålesund 2022-06-14 - 2022-11-14
2017
-
Academic lectureSkulstad, Robert. (2017) Ship motion prediction using neural networks. Move autumn conference 2017 2017-11-22 - 2017-11-22
-
LectureKyllingstad, 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 -