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
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).
- 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).
- 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.
- 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).
- 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).
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).
- 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.
- 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.
- Skulstad, Robert. (2021) Data-Based Modelling of Ships for Motion Prediction and Control Allocation. 2021. ISBN 978-82-326-6605-8.
- Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Wang, Tongtong; Zhang, Houxiang. (2021) A Co-operative Hybrid Model For Ship Motion Prediction. Modeling, Identification and Control. volum 42 (1).
- 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.
- 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).
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).
- 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).
- Hatledal, Lars Ivar; Skulstad, Robert; Li, Guoyuan; Styve, Arne; Zhang, Houxiang. (2020) Co-simulation as a Fundamental Technology for Twin Ships. Modeling, Identification and Control. volum 41 (4).
- 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.
- 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.
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).
- 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.
- 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).
- 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.
- 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).
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).
- 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).
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).
- 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.
Journal publications
- 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).
- 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).
- 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).
- 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.
- 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.
- Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Wang, Tongtong; Zhang, Houxiang. (2021) A Co-operative Hybrid Model For Ship Motion Prediction. Modeling, Identification and Control. volum 42 (1).
- 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.
- 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).
- 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).
- Hatledal, Lars Ivar; Skulstad, Robert; Li, Guoyuan; Styve, Arne; Zhang, Houxiang. (2020) Co-simulation as a Fundamental Technology for Twin Ships. Modeling, Identification and Control. volum 41 (4).
- 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.
- 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.
- 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).
- 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.
- 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).
- 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).
- 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).
- 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.
Report/dissertation
- Skulstad, Robert. (2021) Data-Based Modelling of Ships for Motion Prediction and Control Allocation. 2021. ISBN 978-82-326-6605-8.
Part of book/report
- 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.
- 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).
- 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).
- 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).
- 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.
- 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).
- 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).