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51 Publications


2024 | Conference Paper | LibreCat-ID: 53643
A. Amer, M. Mehndiratta, J. le Fevre Sejersen, H. X. Pham, and E. Kayacan, “Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection,” 2024, doi: 10.1109/icar58858.2023.10406329.
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2024 | Conference Paper | LibreCat-ID: 53796
A. Amer, O. Álvarez-Tuñón, H. İ. Uğurlu, J. Le Fevre Sejersen, Y. Brodskiy, and E. Kayacan, “UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework,” 2024, doi: 10.1109/icar58858.2023.10406819.
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2023 | Journal Article | LibreCat-ID: 53962
O. Álvarez-Tuñón, Y. Brodskiy, and E. Kayacan, “Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines,” IEEE Transactions on Artificial Intelligence, pp. 1–21, 2023, doi: 10.1109/tai.2023.3321032.
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2023 | Conference Paper | LibreCat-ID: 53961
O. Álvarez-Tuñón et al., “MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection,” 2023, doi: 10.1109/iros55552.2023.10341436.
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2023 | Conference Paper | LibreCat-ID: 53963
M. Heiß, J. G. Hansen, D. Li, M. Kozłowski, and E. Kayacan, “PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object Masking,” 2023, doi: 10.1109/icuas57906.2023.10155806.
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2023 | Conference Paper | LibreCat-ID: 53960
J. le Fevre Sejersen and E. Kayacan, “CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots,” 2023, doi: 10.1109/iros55552.2023.10341937.
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2022 | Journal Article | LibreCat-ID: 35586
M. Protte, R. Fahr, and D. E. Quevedo, “Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy,” IEEE Control Systems, vol. 40, no. 6, pp. 57–76, 2022, doi: 10.1109/mcs.2020.3019723.
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2021 | Journal Article | LibreCat-ID: 29653
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, and O. Wallscheid, “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments,” IEEE Access, vol. 9, pp. 35654–35669, 2021, doi: 10.1109/ACCESS.2021.3062144.
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2021 | Journal Article | LibreCat-ID: 29664
O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.
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2021 | Journal Article | LibreCat-ID: 29662
M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,” arXiv preprint arXiv:2105.08990, 2021.
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