Trajectory tracking and ocean current estimation for marine underactuated vehicles. - Anastasios M. Lekkas; Thor I. Fossen (CCA, 2014)

Minimization of cross-track and along-track errors for path tracking of marine underactuated vehicles. - Anastasios M. Lekkas; Thor I. Fossen (ECC, 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)

Energy-Optimized Hybrid Collision Avoidance for ASVs. - Glenn Bitar; Bjørn-Olav H. Eriksen; Anastasios M. Lekkas; Morten Breivik (ECC, 2019)

Warm-Started Optimized Trajectory Planning for ASVs. - Glenn Bitar; Vegard N. Vestad; Anastasios M. Lekkas; Morten Breivik (CoRR, 2019)

Improvements to Warm-Started Optimized Trajectory Planning for ASVs. - Glenn Bitar; Anastasios M. Lekkas; Morten Breivik (CoRR, 2019)

Autonomous docking using direct optimal control. - Andreas B. Martinsen; Anastasios M. Lekkas; Sebastien Gros (CoRR, 2019)

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 (CCTA, 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)

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)

Combining system identification with reinforcement learning-based MPC. - Andreas B. Martinsen; Anastasios M. Lekkas; Sebastien Gros (CoRR, 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)

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)

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)

Reinforcement Learning based on Scenario-tree MPC for ASVs. - Arash Bahari Kordabad; Hossein Nejatbakhsh Esfahani; Anastasios M. Lekkas; Sébastien Gros (ACC, 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 (CDC, 2021)

Three-Phase Automatic Crossing for a Passenger Ferry With Field Trials. - Glenn Bitar; Bjørn-Olav H. Eriksen; Anastasios M. Lekkas; Morten Breivik (ECC, 2021)

Approximating a deep reinforcement learning docking agent using linear model trees. - Vilde B. Gjærum; Ella-Lovise H. Rørvik; Anastasios M. Lekkas (ECC, 2021)

Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations. - Sindre Benjamin Remman; Anastasios M. Lekkas (ECC, 2021)

Two Space-Time Obstacle Representations Based on Ellipsoids and Polytopes. - Andreas B. Martinsen; Anastasios M. Lekkas (IEEE Access, 2021)

Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning. - Sindre Benjamin Remman; Inga Strümke; Anastasios M. Lekkas (ACC, 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)

Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs. - Vilde B. Gjærum; Inga Strümke; Anastasios M. Lekkas; Tim Miller 001 (CoRR, 2022)

Optimal Model-Based Trajectory Planning With Static Polygonal Constraints. - Andreas B. Martinsen; Anastasios M. Lekkas; Sébastien Gros (IEEE Trans. Control. Syst. Technol., 2022)

Automated Docking for Marine Surface Vessels - A Survey. - Simon J. N. Simonlexau; Morten Breivik; Anastasios M. Lekkas (IEEE Access, 2023)

Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. - Vilde B. Gjærum; Inga Strümke; Jakob Løver; Timothy Miller 001; Anastasios M. Lekkas (Neurocomputing, 2023)

Model-Based Motion Control Design for the Milliampere1 Prototype Ferry. - Camilla Fruzzetti; Michele Martelli; Anastasios M. Lekkas; Roger Skjetne; Morten Breivik (ECC, 2024)

Using Shapley Additive Explanations to Explain a Deep Reinforcement Learning Agent Controlling a Turtlebot3 for Autonomous Navigation. - Sindre Benjamin Remman; Anastasios M. Lekkas (ICINCO (1), 2024)

Explaining Deep Reinforcement Learning Policies with SHAP, Decision Trees, and Prototypes. - Kristoffer Eikså; Jan Erlend Vatne; Anastasios M. Lekkas (MED, 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 (MED, 2024)

Autonomous Inspection and Maintenance Operations employing Multi-Robots: Preliminary Results. - Miguel A. Hinostroza; Anastasios M. Lekkas; Aksel Andreas Transeth; Bjørnar Luteberget; Christian de Jonge; Svein Ivar Sagatun (MESA, 2024)

Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space. - Sindre Benjamin Remman; Anastasios M. Lekkas (CoRR, 2024)

Model Identification, Dynamic Positioning, and Thrust Allocation System for the milliAmpere1 Autonomous Ferry Prototype: Field Trial Results. - Miguel A. Hinostroza; Camilla Fruzzetti; Andreas Gudahl Tufte; Simon J. N. Lexau; Alexey Gusev; Egil Eide; Edmund Brekke; Anastasios M. Lekkas; Roger Skjetne; Michele Martelli; Morten Breivik (IEEE Access, 2025)

Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR. - Sindre Benjamin Remman; Anastasios M. Lekkas (CoRR, 2025)