2021

• Lekkas, Anastasios; Gros, Sebastien; Martinsen, Andreas Bell. (2021) Optimization-based Planning and Control for Autonomous Surface Vehicles. Norges teknisk-naturvitenskapelige universitet. 2021.
  PhD thesis
• Martinsen, Andreas Bell; Lekkas, Anastasios. (2021) Two Space-Time Obstacle Representations Based on Ellipsoids and Polytopes. IEEE Access. volum 9.
  Academic article
• Martinsen, Andreas Bell; Lekkas, Anastasios; Gros, Sebastien. (2021) Optimal Model-Based Trajectory Planning With Static Polygonal Constraints. IEEE Transactions on Control Systems Technology. volum 30 (3).
  Academic article

2020

• Bitar, Glenn Ivan; Martinsen, Andreas Bell; Lekkas, Anastasios; Breivik, Morten. (2020) Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments. IFAC-PapersOnLine. volum 53 (2).
  Academic article
• Bitar, Glenn Ivan; Martinsen, Andreas Bell; Lekkas, Anastasios; Breivik, Morten. (2020) Two-Stage Optimized Trajectory Planning for ASVs Under Polygonal Obstacle Constraints: Theory and Experiments. IEEE Access. volum 8.
  Academic article
• Martinsen, Andreas Bell; Bitar, Glenn Ivan; Lekkas, Anastasios M.; Gros, Sebastien. (2020) Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments. IEEE Access. volum 8.
  Academic article
• Martinsen, Andreas Bell; Lekkas, Anastasios M.; Gros, Sebastien; Glomsrud, Jon Arne; Pedersen, Tom Arne. (2020) Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions. Frontiers in Robotics and AI. volum 7 (32).
  Academic article
• Martinsen, Andreas Bell; Lekkas, Anastasios; Gros, Sebastien. (2020) Combining system identification with reinforcement learning-based MPC. IFAC-PapersOnLine. volum 53 (2).
  Academic article

2019

• Martinsen, Andreas Bell; Lekkas, Anastasios M.; Gros, Sebastien. (2019) Autonomous docking using direct optimal control. IFAC-PapersOnLine. volum 52 (21).
  Academic article

2018

• Martinsen, Andreas Bell; Lekkas, Anastasios M.. (2018) Curved path following with deep reinforcement learning: Results from three vessel models. OCEANS 2018 MTS/IEEE Charleston.
  Academic chapter/article
• Martinsen, Andreas Bell; Lekkas, Anastasios M.. (2018) Straight-Path Following for Underactuated Marine Vessels using Deep Reinforcement Learning. 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2018 Opatija, Croatia, 10–12 September 2018.
  Academic chapter/article