Anastasios M. Lekkas

According to our database, Anastasios M. Lekkas authored at least 32 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space.

Sindre Benjamin Remman, Anastasios M. Lekkas

CoRR, 2024

Autonomous Inspection and Maintenance Operations employing Multi-Robots: Preliminary Results.

M. A. Hinostroza, Anastasios M. Lekkas, Aksel Transeth, Bjørnar Luteberget, Christian de Jonge, Svein Ivar Sagatun

Proceedings of the 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2024

Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective.

Sindre Benjamin Remman, Bjørn Andreas Kristiansen, Anastasios M. Lekkas

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Explaining Deep Reinforcement Learning Policies with SHAP, Decision Trees, and Prototypes.

Kristoffer Eikså, Jan Erlend Vatne, Anastasios M. Lekkas

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Using Shapley Additive Explanations to Explain a Deep Reinforcement Learning Agent Controlling a Turtlebot3 for Autonomous Navigation.

Sindre Benjamin Remman, Anastasios M. Lekkas

Proceedings of the 21st International Conference on Informatics in Control, 2024

Model-Based Motion Control Design for the Milliampere1 Prototype Ferry.

Camilla Fruzzetti, Michele Martelli, Anastasios M. Lekkas, Roger Skjetne, Morten Breivik

Proceedings of the European Control Conference, 2024

2023

Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications.

Vilde B. Gjærum, Inga Strümke, Jakob Løver, Timothy Miller, Anastasios M. Lekkas

Neurocomputing, 2023

Automated Docking for Marine Surface Vessels - A Survey.

Simon J. N. Simonlexau, Morten Breivik, Anastasios M. Lekkas

IEEE Access, 2023

2022

Optimal Model-Based Trajectory Planning With Static Polygonal Constraints.

Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros

IEEE Trans. Control. Syst. Technol., 2022

Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs.

Vilde B. Gjærum, Inga Strümke, Anastasios M. Lekkas, Tim Miller

CoRR, 2022

Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization.

Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos, Anastasios M. Lekkas

CoRR, 2022

Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning.

Sindre Benjamin Remman, Inga Strümke, Anastasios M. Lekkas

Proceedings of the American Control Conference, 2022

2021

Two Space-Time Obstacle Representations Based on Ellipsoids and Polytopes.

Andreas B. Martinsen, Anastasios M. Lekkas

IEEE Access, 2021

Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations.

Sindre Benjamin Remman, Anastasios M. Lekkas

Proceedings of the 2021 European Control Conference, 2021

Approximating a deep reinforcement learning docking agent using linear model trees.

Vilde B. Gjærum, Ella-Lovise H. Rørvik, Anastasios M. Lekkas

Proceedings of the 2021 European Control Conference, 2021

Three-Phase Automatic Crossing for a Passenger Ferry With Field Trials.

Glenn Bitar, Bjørn-Olav H. Eriksen, Anastasios M. Lekkas, Morten Breivik

Proceedings of the 2021 European Control Conference, 2021

MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles.

Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Reinforcement Learning based on Scenario-tree MPC for ASVs.

Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros

Proceedings of the 2021 American Control Conference, 2021

2020

Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions.

Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros, Jon Arne Glomsrud, Tom Arne Pedersen

Frontiers Robotics AI, 2020

Hybrid Collision Avoidance for ASVs Compliant With COLREGs Rules 8 and 13-17.

Bjørn-Olav H. Eriksen, Glenn Bitar, Morten Breivik, Anastasios M. Lekkas

Frontiers Robotics AI, 2020

Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments.

Glenn Bitar, Andreas B. Martinsen, Anastasios M. Lekkas, Morten Breivik

CoRR, 2020

Combining system identification with reinforcement learning-based MPC.

Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros

CoRR, 2020

Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments.

Andreas B. Martinsen, Glenn Bitar, Anastasios M. Lekkas, Sébastien Gros

IEEE Access, 2020

Two-Stage Optimized Trajectory Planning for ASVs Under Polygonal Obstacle Constraints: Theory and Experiments.

Glenn Bitar, Andreas B. Martinsen, Anastasios M. Lekkas, Morten Breivik

IEEE Access, 2020

Reactive collision avoidance for ASVs based on control barrier functions.

Emil H. Thyri, Erlend A. Basso, Morten Breivik, Kristin Ytterstad Pettersen, Roger Skjetne, Anastasios M. Lekkas

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Autonomous docking using direct optimal control.

Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros

CoRR, 2019

Improvements to Warm-Started Optimized Trajectory Planning for ASVs.

Glenn Bitar, Anastasios M. Lekkas, Morten Breivik

CoRR, 2019

Warm-Started Optimized Trajectory Planning for ASVs.

Glenn Bitar, Vegard N. Vestad, Anastasios M. Lekkas, Morten Breivik

CoRR, 2019

Energy-Optimized Hybrid Collision Avoidance for ASVs.

Glenn Bitar, Bjørn-Olav H. Eriksen, Anastasios M. Lekkas, Morten Breivik

Proceedings of the 17th European Control Conference, 2019

2014

Integral LOS Path Following for Curved Paths Based on a Monotone Cubic Hermite Spline Parametrization.

Anastasios M. Lekkas, Thor I. Fossen

IEEE Trans. Control. Syst. Technol., 2014

Minimization of cross-track and along-track errors for path tracking of marine underactuated vehicles.

Anastasios M. Lekkas, Thor I. Fossen

Proceedings of the 13th European Control Conference, 2014

Trajectory tracking and ocean current estimation for marine underactuated vehicles.

Anastasios M. Lekkas, Thor I. Fossen

Proceedings of the 2014 IEEE Conference on Control Applications, 2014