|
|||||||||||||||
|
In order to register data in Cristin, you must be an academic or administrative employee.
|
|||||||||||||||
|
|||||||||||||||
|
|||||||||||||||
|
2024
|
||
| 1. | Hinostroza Munöz, Miguel Angel; Lekkas, Anastasios M.. Temporal mission planning for autonomous ships: Design and integration with guidance, navigation and control. Ocean Engineering 2024 ;Volume 297. p. - NTNU |
|
|
2023
|
||
| 2. | Allum, Simen Stensrød. Camera-Based Perception System for Autonomous Drones in Search-and-Rescue Missions at Sea. : Faculty of Information Technology and Electrical Engineering/ Department of Engineering Cybernetics 2023 121 p. NTNU |
|
|
|
||
| 3. | Gjærum, Vilde Benoni; Strumke, Inga; Lekkas, Anastasios M.; Miller, Timothy. Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs. I: 22nd IFAC World Congress. Elsevier 2023 ISBN 9781510850712. p. 7-12 NTNU |
|
|
|
||
| 4. | Gjærum, Vilde Benoni; Strumke, Inga; Løver, Jakob; Miller, Timothy; Lekkas, Anastasios M.. Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing 2023 ;Volume 515. p. 133-144 NTNU |
|
|
|
||
| 5. | Hinostroza Munoz, Miguel Angel; Lekkas, Anastasios; Transeth, Aksel Andreas; Luteberget, Bjørnar Steinnes; de Jonge, Christian; Sagatun, Svein Ivar. Automated Planning for Inspection and Maintenance operations using Unmanned Ground Vehicles. IFAC-PapersOnLine 2023 ;Volume 56.(2) p. 7873-7879 NTNU SINTEF |
|
|
|
||
| 6. | Jernsletten, Jakob Horn. Autonomous search and rescue using an autonomous surface vessel. : Faculty of Information Technology and Electrical Engineering/ Department of Engineering Cybernetics 2023 100 p. NTNU |
|
|
|
||
| 7. | Kinn, David Aleksander; Lekkas, Anastasios M.. Causal Episode Explanations for Reinforcement Learning Applications. : Faculty of Information Technology and Electrical Engineering Department of Engineering Cybernetics Master’s thesis 2023 73 p. NTNU |
|
|
|
||
| 8. | Lekkas, Anastasios M.. An overview of SFI AutoShip. Meeting with Hidrovias do Brasil and Kongsberg Discovery.; 2023-10-19 - 2023-10-19 NTNU |
|
|
|
||
| 9. | Lekkas, Anastasios M.. An overview of SFI Autoship. Meeting with Indian Institute of Technology - Madras; 2023-09-26 - 2023-09-26 NTNU |
|
|
|
||
| 10. | Lekkas, Anastasios M.. An overview of SFI Autoship. Guest visit at Technical University of Denmark (DTU); 2023-03-30 - 2023-03-30 NTNU |
|
|
|
||
| 11. | Lexau, Simon Julian Nagelsaker; Breivik, Morten; Lekkas, Anastasios. Automated Docking for Marine Surface Vessels - A Survey. IEEE Access 2023 ;Volume 11. p. 132324-132367 NTNU |
|
|
|
||
| 12. | Lexau, Simon Julian Nagelsaker; Weslien, Kaj-Robin; Lauritsen, Roger; Lekkas, Anastasios M.. SFI Autoship webinar on automated docking for marine surface vessels. SFI Autoship webinar; 2023-09-18 - 2023-09-18 NTNU |
|
|
|
||
| 13. | Nilsen, Kristian. Planning, Scheduling and Control for Autonomous Passenger Ferry Operations in Urban Environments. : Faculty of Information Technology and Electrical Engineering/ Department of Engineering Cybernetics 2023 118 p. NTNU |
|
|
|
||
| 14. | Nordhus, Henrik Rohde. COLREGs-aware automatic docking for autonomous surface vessels. : Faculty of Information Technology and Electrical Engineering/ Department of Engineering Cybernetics 2023 113 p. NTNU |
|
|
|
||
| 15. | Sauar, Aurora Opheim. Explainable Artificial Intelligence for the docking of a marine vessel using SHAP and LIME. : Faculty of Information Technology and Electrical Engineering/ Department of Engineering Cybernetics 2023 80 p. NTNU |
|
|
|
||
| 16. | Solbø, Øystein. Towards mission planning for search and rescue at sea. : Faculty of Information Technology and Electrical Engineering/ Department of Engineering Cybernetics 2023 NTNU |
|
|
2022
|
||
| 17. | Brekke, Edmund Førland; Eide, Egil; Eriksen, Bjørn-Olav Holtung; Wilthil, Erik Falmår; Breivik, Morten; Skjellaug, Even; Helgesen, Øystein Kaarstad; Lekkas, Anastasios M.; Martinsen, Andreas Bell; Thyri, Emil Hjelseth; Torben, Tobias Valentin Rye; Veitch, Erik Aleksander; Alsos, Ole Andreas; Johansen, Tor Arne. milliAmpere: An Autonomous Ferry Prototype. Journal of Physics: Conference Series (JPCS) 2022 ;Volume 2311. p. - NTNU |
|
|
|
||
| 18. | Eik, Ruben. Differentiable decision trees for reinforcement learning. : Fakultet for informasjonsteknologi og elektroteknikk/Institutt for teknisk kybernetikk 2022 58 p. NTNU |
|
|
|
||
| 19. | Falang, Martin. Autonomous UAV Landing on a Boat - Perception, Control and Mission Planning. : Fakultet for informasjonsteknologi og elektroteknikk/Institutt for teknisk kybernetikk 2022 123 p. NTNU |
|
|
|
||
| 20. | Hinostroza, Miguel; Lekkas, Anastasios M.. A Rudimentary Mission Planning System for Marine Autonomous Surface Ships. IFAC-PapersOnLine 2022 ;Volume 55.(31) p. 196-203 NTNU |
|
|
|
||
| 21. | Hjelmeland, Hanna Waage; Eriksen, Bjørn-Olav Holtung; Mengshoel, Ole Jakob; Lekkas, Anastasios M.. Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing. IFAC-PapersOnLine 2022 ;Volume 55.(31) p. 470-477 NTNU |
|
|
|
||
| 22. | Hjelmeland, Hanna Waage. Safety validation of marine collision avoidance systems using Adaptive Stress Testing. : Fakultet for informasjonsteknologi og elektroteknikk/Institutt for teknisk kybernetikk 2022 118 p. NTNU |
|
|
|
||
| 23. | Lekkas, Anastasios M.. Explainable AI: A robotics perspective. Experts in Teams on Explainable AI; 2022-01-25 - 2022-01-25 NTNU |
|
|
|
||
| 24. | Lekkas, Anastasios M.. SFI AutoShip - An Introduction. Norwegian Maritime Authority Workshop; 2022-10-26 - 2022-10-26 NTNU |
|
|
|
||
| 25. | Lekkas, Anastasios M.. SFI AutoShip - An Introduction. SMASH! visit to Norway; 2022-11-23 - 2022-11-23 NTNU |
|
|
|
||
| 26. | Lekkas, Anastasios M.. SFI AutoShip - Overview of research progress. SFI Days; 2022-10-25 - 2022-10-26 NTNU |
|
|
|
||
| 27. | Martinsen, Andreas Bell; Lekkas, Anastasios; Gros, Sebastien. Reinforcement learning-based NMPC for tracking control of ASVs: Theory and experiments. Control Engineering Practice 2022 ;Volume 120. NTNU |
|
|
|
||
| 28. | Remman, Sindre Benjamin; Strumke, Inga; Lekkas, Anastasios M.. Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning. American Control Conference (ACC) 2022 p. - NTNU |
|
|
|
||
| 29. | Sanden, Vegard. High-level Action Planning for Marine Vessels Using Active Inference and Reinforcement Learning. : Fakultet for informasjonsteknologi og elektroteknikk/Institutt for teknisk kybernetikk 2022 107 p. NTNU |
|
|
|
||
| 30. | Strumke, Inga; Gjærum, Vilde Benoni; Lekkas, Anastasios; Alsos, Ole Andreas. Visual explanations of a deep reinforcement learning docking agent. NORA Annual conference; 2022-06-09 - 2022-06-09 NTNU |
|
|
|
||
| 31. | Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios M.; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric. Autonomous subsea intervention (SEAVENTION). 14th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles (CAMS 2022); 2022-09-14 - 2022-09-16 SINTEF NTNU OCEAN |
|
|
|
||
| 32. | Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric. Autonomous subsea intervention (SEAVENTION). IFAC-PapersOnLine 2022 ;Volume 55.(31) p. 387-394 NTNU OCEAN SINTEF |
|
|
|
||
| 33. | Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric. SEAVENTION – Autonomous Subsea Intervention. SPRINT World Conference; 2022-09-27 - 2022-09-28 NTNU SINTEF OCEAN |
|
|
|
||
| 34. | Ødven, Petter K.. Static and dynamic multi-obstacle avoidance for docking of ASVs using computational geometry and numerical optimal control. : Fakultet for informasjonsteknologi og elektroteknikk/Institutt for teknisk kybernetikk 2022 90 p. NTNU |
|
|
|
||
| 35. | Ødven, Petter Knutsen; Martinsen, Andreas Bell; Lekkas, Anastasios M.. Static obstacle avoidance and docking of ASVs using computational geometry and numerical optimal control. IFAC-PapersOnLine 2022 ;Volume 55.(31) p. 50-57 NTNU |
|
|
2021
|
||
| 36. | Bahari Kordabad, Arash; Nejatbakhsh Esfahani, Hossein; Lekkas, Anastasios M.; Gros, Sebastien. Reinforcement Learning based on Scenario-tree MPC for ASVs. I: Proc. 2021 American Control Conference. IEEE conference proceedings 2021 ISBN 978-1-7281-9704-3. p. 1985-1990 NTNU |
|
|
|
||
| 37. | Bitar, Glenn Ivan; Eriksen, Bjørn-Olav Holtung; Lekkas, Anastasios M.; Breivik, Morten. Three-Phase Automatic Crossing for a Passenger Ferry With Field Trials. I: 2021 European Control Conference, ECC 2021. IEEE conference proceedings 2021 ISBN 978-9-4638-4236-5. p. 2271-2277 NTNU |
|
|
|
||
| 38. | Cai, Wenqi; Bahari Kordabad, Arash; Nejatbakhsh Esfahani, Hossein; Lekkas, Anastasios M.; Gros, Sebastien. MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles. I: Proceedings of IEEE CDC2021 conference. IEEE conference proceedings 2021 ISBN 978-1-6654-3659-5. p. 2990-2995 NTNU |
|
|
|
||
| 39. | Gjærum, Vilde Benoni; Remman, Sindre Benjamin; Strumke, Inga; Lekkas, Anastasios M.. Webinar on Explainable Artificial Intelligence. Webinar; 2021-12-10 - 2021-12-10 NTNU |
|
|
|
||
| 40. | Gjærum, Vilde Benoni; Rørvik, Ella-Lovise Hammervold; Lekkas, Anastasios M.. Approximating a deep reinforcement learning docking agent using linear model trees. I: Proceedings of the 2021 European Control Conference. IEEE conference proceedings 2021 ISBN 978-9-4638-4236-5. p. 1465-1471 NTNU |
|
|
|
||
| 41. | Gjærum, Vilde Benoni; Strumke, Inga; Alsos, Ole Andreas; Lekkas, Anastasios M.. Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization. Journal of Marine Science and Engineering (JMSE) 2021 ;Volume 9.(11) p. - NTNU |
|
|
|
||
| 42. | ; Martinsen, Andreas Bell. Optimization-based Planning and Control for Autonomous Surface Vehicles. Norges teknisk-naturvitenskapelige universitet 2021 NTNU |
|
|
|
||
| 43. | Lekkas, Anastasios M.. Explainable AI systems - Insights from the EXAIGON project. MIRA Fall Seminar; 2021-10-18 - 2021-10-19 NTNU |
|
|
|
||
| 44. | ; Kingman, Ivan Håbjørg. Deep reinforcement learning applied to targeted oceanographic sampling for an autonomous underwater vehicle.. : Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2021 120 p. NTNU |
|
|
|
||
| 45. | Løver, Jakob; Gjærum, Vilde Benoni; Lekkas, Anastasios M.. Explainable AI methods on a deep reinforcement learning agent for automatic docking. IFAC-PapersOnLine 2021 ;Volume 54.(16) p. 146-152 NTNU |
|
|
|
||
| 46. | Løver, Jakob. Explaining a Deep Reinforcement Learning Agent Using Regression Trees. : Norwegian University of Science and Technology 2021 107 p. NTNU |
|
|
|
||
| 47. | Martinsen, Andreas Bell; Lekkas, Anastasios. Two Space-Time Obstacle Representations Based on Ellipsoids and Polytopes. IEEE Access 2021 ;Volume 9. p. 111152-111161 NTNU |
|
|
|
||
| 48. | Martinsen, Andreas Bell; Lekkas, Anastasios; Gros, Sebastien. Optimal Model-Based Trajectory Planning With Static Polygonal Constraints. IEEE Transactions on Control Systems Technology 2021 ;Volume 30.(3) p. 1159-1170 NTNU |
|
|
|
||
| 49. | Myklebust, Iver Osberg. Explainable AI methods for Cyber-Physical systems. Norges teknisk-naturvitenskapelige universitet 2021 93 p. NTNU |
|
|
|
||
| 50. | Rasheed, Adil; Lekkas, Anastasios M.. Organization of mini symposium on Explainable AI and Hybrid Analysis and Modeling. Computational Sciences and AI in Industry; 2021-06-07 - 2021-06-09 NTNU |
|