A. Lekkas

发表

Online Path Planning for Surface Vehicles Exposed to Unknown Ocean Currents Using Pseudospectral Optimal Control

Anastasios M. Lekkas, Morten Breivik, Ann Louise Roald, 2016 .

Line-of-Sight Guidance for Path Following of Marine Vehicles

Thor I. Fossen, Anastasios M. Lekkas, T. Fossen, 2013 .

Continuous Curvature Path Planning using Voronoi diagrams and Fermat's spirals

T. Fossen, A. Sørensen, A. Lekkas, 2013 .

Dynamic Wireless Charging of Autonomous Vehicles

Jon Eivind Stranden, G. Guidi, A. Lekkas, 2019 .

utlier ejection in nder ater coustic osition easure ents ased on rediction Errors

A. Lekkas, Mauro Candeloro, I. Schjølberg, 2015 .

Two Space-Time Obstacle Representations Based on Ellipsoids and Polytopes

Andreas B. Martinsen, A. Lekkas, 2021, IEEE Access.

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

A. Lekkas, Inga Strümke, Vilde B. Gjærum, 2022, Neurocomputing.

A Rudimentary Mission Planning System for Marine Autonomous Surface Ships

A. Lekkas, M. Hinostroza, 2022, IFAC-PapersOnLine.

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

Thor I. Fossen, Anastasios M. Lekkas, T. Fossen, 2014, IEEE Transactions on Control Systems Technology.

Guidance and Path-Planning Systems for Autonomous Vehicles

Anastasios M. Lekkas, A. Lekkas, 2014 .

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

Anastasios M. Lekkas, Sebastien Gros, Arash Bahari Kordabad, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Combining system identification with reinforcement learning-based MPC pdf

Anastasios M. Lekkas, Andreas B. Martinsen, Sebastien Gros, 2020, ArXiv.

Direct and indirect adaptive integral line‐of‐sight path‐following controllers for marine craft exposed to ocean currents

Anastasios M. Lekkas, Thor I. Fossen, T. Fossen, 2017 .

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

Andreas B. Martinsen, A. Lekkas, S. Gros, 2020, IEEE Access.

Autonomous docking using direct optimal control

Andreas B. Martinsen, A. Lekkas, S. Gros, 2019, IFAC-PapersOnLine.

A Voronoi-diagram-based dynamic path-planning system for underactuated marine vessels☆

Asgeir J. Sørensen, Anastasios M. Lekkas, Mauro Candeloro, 2017 .

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

Anastasios M. Lekkas, Morten Breivik, Bjorn-Olav H. Eriksen, 2019, Frontiers in Robotics and AI.

A Quaternion-Based LOS Guidance Scheme for Path Following of AUVs

Thor I. Fossen, Anastasios M. Lekkas, T. Fossen, 2013 .

milliAmpere: An Autonomous Ferry Prototype

Andreas B. Martinsen, Emil H. Thyri, Bjørn-Olav H. Eriksen, 2022, Journal of Physics: Conference Series.

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

Anastasios M. Lekkas, Morten Breivik, Andreas B. Martinsen, 2020, IEEE Access.

Static and dynamic multi-obstacle avoidance and docking of ASVs using computational geometry and numerical optimal control

Andreas B. Martinsen, A. Lekkas, Petter K. Ødven, 2022, IFAC-PapersOnLine.

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

Anastasios M. Lekkas, Morten Breivik, Glenn Bitar, 2021, 2021 European Control Conference (ECC).

Reactive collision avoidance for ASVs based on control barrier functions

Kristin Y. Pettersen, Anastasios M. Lekkas, Morten Breivik, 2020, 2020 IEEE Conference on Control Technology and Applications (CCTA).

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

Anastasios M. Lekkas, Morten Breivik, Andreas B. Martinsen, 2020, ArXiv.

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

A. Lekkas, O. Alsos, Inga Strümke, 2021, Journal of Marine Science and Engineering.

Warm-Started Optimized Trajectory Planning for ASVs pdf

Anastasios M. Lekkas, Morten Breivik, Glenn Bitar, 2019, IFAC-PapersOnLine.

Reinforcement Learning based on Scenario-tree MPC for ASVs

Anastasios M. Lekkas, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, 2021, 2021 American Control Conference (ACC).

Optimal Model-Based Trajectory Planning With Static Polygonal Constraints pdf

Anastasios M. Lekkas, Andreas B. Martinsen, Sebastien Gros, 2020, IEEE Transactions on Control Systems Technology.

A Time-Varying Lookahead Distance Guidance Law for Path Following

Thor I. Fossen, Anastasios M. Lekkas, T. Fossen, 2012 .

Curved Path Following with Deep Reinforcement Learning: Results from Three Vessel Models

Anastasios M. Lekkas, Andreas B. Martinsen, A. Lekkas, 2018, OCEANS 2018 MTS/IEEE Charleston.

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

Anastasios M. Lekkas, Jon Arne Glomsrud, Sébastien Gros, 2020, Frontiers in Robotics and AI.

Straight-Path Following for Underactuated Marine Vessels using Deep Reinforcement Learning

Anastasios M. Lekkas, Andreas B. Martinsen, A. Lekkas, 2018 .

Trajectory tracking and ocean current estimation for marine underactuated vehicles

Thor I. Fossen, Anastasios M. Lekkas, T. Fossen, 2014, 2014 IEEE Conference on Control Applications (CCA).

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

Thor I. Fossen, Anastasios M. Lekkas, T. Fossen, 2014, 2014 European Control Conference (ECC).

3D Path Following and Tracking for an Inspection Class ROV

Anastasios M. Lekkas, Bent Oddvar Arnesen, Ingrid Schjølberg, 2017 .

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

Anastasios M. Lekkas, Inga Strümke, Sindre Benjamin Remman, 2021, 2022 American Control Conference (ACC).

Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations

Anastasios M. Lekkas, Sindre Benjamin Remman, A. Lekkas, 2021, 2021 European Control Conference (ECC).

Autonomous subsea intervention (SEAVENTION)

F. Py, A. Transeth, A. Lekkas, 2022, IFAC-PapersOnLine.

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

Sindre Benjamin Remman, A. Lekkas, 2024, ArXiv.

Dynamic Wireless Charging of Autonomous Vehicles: Small-scale demonstration of inductive power transfer as an enabling technology for self-sufficient energy supply

Jon Are Suul, Anastasios M. Lekkas, Giuseppe Guidi, 2020, IEEE Electrification Magazine.

Model-Based Motion Control Design for the Milliampere1 Prototype Ferry

R. Skjetne, A. Lekkas, M. Breivik, 2024, 2024 European Control Conference (ECC).