Robert Skulstad

Orcid: 0000-0003-2575-1508

Affiliations:

Norwegian University of Science and Technology, Trondheim, Norway

According to our database¹, Robert Skulstad authored at least 16 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2024

Learning Nonlinear Dynamics of Ocean Surface Vessel With Multistep Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, September, 2024

SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., May, 2024

2023

A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies.

[BibT_eX]

[DOI]

André Listou Ellefsen

IEEE Robotics Autom. Mag., September, 2023

Physics-data cooperative ship motion prediction with onboard wave radar for safe operations.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Design of Constraints for a Neural Network based Thrust Allocator for Dynamic Ship Positioning.

[BibT_eX]

[DOI]

Rahul Nath Raghunathan

Robert Skulstad

Guoyuan Li

Houxiang Zhang

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Multi-Step Ship Roll Motion Prediction Based on Bi-LSTM and Input Optimization.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

Data-Driven Modeling for Transferable Sea State Estimation Between Marine Systems.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

MPC-based path planning for ship collision avoidance under COLREGS.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Physics-informed Data-driven Approach for Ship Docking Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

Adaptive Data-driven Predictor of Ship Maneuvering Motion Under Varying Ocean Environments.

[BibT_eX]

[DOI]

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Practice, 2022

2021

A Hybrid Approach to Motion Prediction for Ship Docking - Integration of a Neural Network Model Into the Ship Dynamic Model.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

2020

SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation.

[BibT_eX]

[DOI]

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019

Dead Reckoning of Dynamically Positioned Ships: Using an Efficient Recurrent Neural Network.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2019

Modeling and Analysis of Motion Data from Dynamically Positioned Vessels for Sea State Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Robert Skulstad

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