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

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)

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)

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

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