Navigation

  • Skip to Content
NTNU Home NTNU Home

ntnu.edu

  • Studies
    • Master's programmes in English
    • For exchange students
    • PhD opportunities
    • All programmes of study
    • Courses
    • Financing
    • Language requirements
    • Application process
    • Academic calendar
    • FAQ
  • Research and innovation
    • NTNU research
    • Research excellence
    • Strategic research areas
    • Innovation resources
    • PhD opportunities
  • Life and housing
    • Student in Trondheim
    • Student in Gjøvik
    • Student in Ålesund
    • For researchers
    • Life and housing
  • About NTNU
    • Contact us
    • Faculties and departments
    • Libraries
    • International researcher support
    • Vacancies
    • About NTNU
    • Maps
  1. Employees

Språkvelger

Norsk

Robert Skulstad

Download press photo
Download press photo
Foto:

Robert Skulstad

Associate Professor
Department of Ocean Operations and Civil Engineering

robert.skulstad@ntnu.no
+4770161494 Ankeret, Ålesund
About Publications Teaching Outreach

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.

https://www.ntnu.edu/ihb/intelligent-systems-lab

http://org.ntnu.no/intelligentsystemslab

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2025

  • Wang, Tongtong; Skulstad, Robert; Zhang, Houxiang. (2025) Physics-Informed Neural Networks for Robust System Identification of Ship Roll Dynamics With Noise Resilience. IEEE Transactions on Industrial Informatics
    Academic article
  • Wang, Tongtong; Skulstad, Robert; Holmeset, Finn Tore; Halse, Karl Henning; Hildre, Hans Petter; Zhang, Houxiang. (2025) Full-scale experimental research on wave shielding effect of RV Gunnerus for offshore operations. Ocean Engineering
    Academic article

2024

  • 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
  • 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
  • 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
  • Han, Peihua; Skulstad, Robert; Zhang, Houxiang. (2024) Deep Autoregressive Roll Motion Prediction of Marine Vessels. IEEE transactions on industrial electronics (1982. Print)
    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

  • 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 (T-ITS)
    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
  • 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

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 (T-ITS)
    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

  • Wang, Tongtong; Skulstad, Robert; Zhang, Houxiang. (2025) Physics-Informed Neural Networks for Robust System Identification of Ship Roll Dynamics With Noise Resilience. IEEE Transactions on Industrial Informatics
    Academic article
  • Wang, Tongtong; Skulstad, Robert; Holmeset, Finn Tore; Halse, Karl Henning; Hildre, Hans Petter; Zhang, Houxiang. (2025) Full-scale experimental research on wave shielding effect of RV Gunnerus for offshore operations. 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
  • 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
  • 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
  • Han, Peihua; Skulstad, Robert; Zhang, Houxiang. (2024) Deep Autoregressive Roll Motion Prediction of Marine Vessels. IEEE transactions on industrial electronics (1982. Print)
    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
  • 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 (T-ITS)
    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
  • 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 (T-ITS)
    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

  • 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
  • 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
  • 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

  • FENA1201 - Elektroteknikk
  • MEPA2910 - Bacheloroppgave mekatronikk og produktdesign
  • MEPA2315 - Introduksjon til kunstig intelligens
  • MASA2352 - Mekatronikk
  • MEPA1002 - Mekatronikk 2 - Mikrokontrollere & sensorer
  • MEPA1001 - Mekatronikk 1 - Introduksjon

Outreach

2022

  • Academic lecture
    Skulstad, Robert. (2022) Hybrid modelling for ship motion prediction. SFI MOVE SFI MOVE summer conference , Ålesund 2022-06-14 - 2022-11-14

2017

  • Academic lecture
    Skulstad, Robert. (2017) Ship motion prediction using neural networks. Move autumn conference 2017 2017-11-22 - 2017-11-22
  • Lecture
    Kyllingstad, 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 -

NTNU – Norwegian University of Science and Technology

  • For employees
  • |
  • For students
  • |
  • Intranet
  • |
  • Blackboard

Studies

  • Master's programmes in English
  • For exchange students
  • PhD opportunities
  • Courses
  • Career development
  • Continuing education
  • Application process

News

  • NTNU News
  • Vacancies

About NTNU

  • About the university
  • Libraries
  • NTNU's strategy
  • Research excellence
  • Strategic research areas
  • Organizational chart

Contact

  • Contact NTNU
  • Employees
  • Find experts
  • Press contacts
  • Researcher support
  • Maps

NTNU in three cities

  • NTNU in Gjøvik
  • NTNU in Trondheim
  • NTNU in Ålesund

About this website

  • Use of cookies
  • Accessibility statement
  • Privacy policy
  • Editorial responsibility
Facebook Instagram Linkedin Snapchat Tiktok Youtube
Sign In
NTNU logo