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51 Publications
2024 | Conference Paper | LibreCat-ID: 53643
Amer, Abdelhakim, Mohit Mehndiratta, Jonas le Fevre Sejersen, Huy Xuan Pham, and Erdal Kayacan. “Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection.” In 2023 21st International Conference on Advanced Robotics (ICAR). IEEE, 2024. https://doi.org/10.1109/icar58858.2023.10406329.
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| DOI
2024 | Conference Paper | LibreCat-ID: 53796
Amer, Abdelhakim, Olaya Álvarez-Tuñón, Halil İbrahim Uğurlu, Jonas Le Fevre Sejersen, Yury Brodskiy, and Erdal Kayacan. “UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework.” In 2023 21st International Conference on Advanced Robotics (ICAR). IEEE, 2024. https://doi.org/10.1109/icar58858.2023.10406819.
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| DOI
2023 | Journal Article | LibreCat-ID: 53962
Álvarez-Tuñón, Olaya, Yury Brodskiy, and Erdal Kayacan. “Monocular Visual Simultaneous Localization and Mapping: (R)Evolution from Geometry to Deep Learning-Based Pipelines.” IEEE Transactions on Artificial Intelligence, 2023, 1–21. https://doi.org/10.1109/tai.2023.3321032.
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| DOI
2023 | Conference Paper | LibreCat-ID: 53961
Álvarez-Tuñón, Olaya, Hemanth Kanner, Luiza Ribeiro Marnet, Huy Xuan Pham, Jonas le Fevre Sejersen, Yury Brodskiy, and Erdal Kayacan. “MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection.” In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023. https://doi.org/10.1109/iros55552.2023.10341436.
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| DOI
2023 | Conference Paper | LibreCat-ID: 53963
Heiß, Micha, Jakob Grimm Hansen, Dengyun Li, Michał Kozłowski, and Erdal Kayacan. “PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object Masking.” In 2023 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2023. https://doi.org/10.1109/icuas57906.2023.10155806.
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| DOI
2023 | Conference Paper | LibreCat-ID: 53960
Fevre Sejersen, Jonas le, and Erdal Kayacan. “CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots.” In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023. https://doi.org/10.1109/iros55552.2023.10341937.
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| DOI
2022 | Journal Article | LibreCat-ID: 35586
Protte, Marius, Rene Fahr, and Daniel E. Quevedo. “Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy.” IEEE Control Systems 40, no. 6 (2022): 57–76. https://doi.org/10.1109/mcs.2020.3019723.
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| DOI
2021 | Journal Article | LibreCat-ID: 29653
Weber, Daniel, Stefan Heid, Henrik Bode, Jarren Lange, Eyke Hüllermeier, and Oliver Wallscheid. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.” IEEE Access 9 (2021): 35654–35669. https://doi.org/10.1109/ACCESS.2021.3062144.
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| DOI
2021 | Journal Article | LibreCat-ID: 29664
Wallscheid, Oliver. “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
Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.” ArXiv Preprint ArXiv:2105.08990, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 35589
Dragicevic, Tomislav, Alessandra Parisio, Jose Rodriguez, Colin Jones, Daniel Quevedo, Luca Ferrarini, Matthias Preindl, Qobad Shafiee, and Thomas Morstyn. “Guest Editorial Model Predictive Control in Energy Conversion Systems.” IEEE Transactions on Energy Conversion 36, no. 2 (2021): 1311–12. https://doi.org/10.1109/tec.2021.3076279.
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| DOI
2020 | Journal Article | LibreCat-ID: 29649
Heid, Stefan, Daniel Weber, Henrik Bode, Eyke Hüllermeier, and Oliver Wallscheid. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” Journal of Open Source Software 5, no. 54 (2020): 2435.
LibreCat
2020 | Journal Article | LibreCat-ID: 35585
Lu, Jingyi, Alex S. Leong, and Daniel E. Quevedo. “Optimal Event‐triggered Transmission Scheduling for Privacy‐preserving Wireless State Estimation.” International Journal of Robust and Nonlinear Control 30, no. 11 (2020): 4205–24. https://doi.org/10.1002/rnc.4910.
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| DOI
2020 | Conference Paper | LibreCat-ID: 42073
Noroozi, Navid, Roxanne Jackson, Daniel E. Quevedo, Fabian R. Wirth, and Rolf Findeisen. “On Noise-to-State Stability of Stochastic Discrete-Time Systems via Finite-Step Lyapunov Functions.” In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2020. https://doi.org/10.1109/cdc40024.2019.9030178.
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| DOI
2020 | Journal Article | LibreCat-ID: 42074
Ding, K., X. Ren, D. E. Quevedo, S. Dey, and L. Shi. “Defensive Deception against Reactive Jamming Attacks in Remote State Estimation.” Automatica 113 (2020).
LibreCat
2019 | Journal Article | LibreCat-ID: 15741
Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica, 2019. https://doi.org/10.1016/j.automatica.2019.108759.
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| DOI
2019 | Journal Article | LibreCat-ID: 35583
Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108759.
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| DOI
2019 | Journal Article | LibreCat-ID: 35584
Ding, Kemi, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, and Ling Shi. “Defensive Deception against Reactive Jamming Attacks in Remote State Estimation.” Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108680.
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| DOI
2019 | Journal Article | LibreCat-ID: 42220
Guo, Z., D. Shi, D. E. Quevedo, and L. Shi. “Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach.” Trans. Signal Processing 67, no. 1 (2019): 194–207.
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