P. N. Leite, A. M. Pinto, Fusing heterogeneous tri-dimensional information for reconstructing submerged structures in harsh sub-sea environments, Information Fusion, Volume 103, 2024, 102126, ISSN 1566-2535,

Neves FS, Claro RM, Pinto AM. End-to-End Detection of a Landing Platform for Offshore UAVs Based on a Multimodal Early Fusion ApproachSensors. 2023; 23(5):2434.

F. S. Neves, G. A. Andrade, M. F. Reis, A. P. Aguiar and A. M. Pinto, Decoding Reinforcement Learning for Newcomers, in IEEE Access, vol. 11, pp. 52778-52789, 2023, doi: 10.1109/ACCESS.2023.3279729

R. M. Claro, D. B. Silva, A. M. Pinto, ArTuga: A novel multimodal fiducial marker for aerial robotics, Robotics and Autonomous Systems, Volume 163, 2023, 104398, ISSN 0921-8890,

Pereira P, Campilho R, Pinto A. An Inverse Kinematics Approach for the Analysis and Active Control of a Four-UPR Motion-Compensated Platform for UAV–ASV CooperationMachines. 2023; 11(4):478.

R. M. Claro, M. I. Pereira, F. S. Neves and A. M. Pinto, “Energy Efficient Path Planning for 3D Aerial Inspections,” in IEEE Access, vol. 11, pp. 32152-32166, 2023, doi: 10.1109/ACCESS.2023.3262837.

D. F. Campos, A. Matos and A. M. Pinto, “Modular Multi-Domain Aware Autonomous Surface Vehicle for Inspection,” in IEEE Access, vol. 10, pp. 113355-113375, 2022, doi: 10.1109/ACCESS.2022.3217504.

R. Silva, A. Matos and A. M. Pinto, “Multi-criteria metric to evaluate motion planners for underwater intervention”, Auton Robot (2022),

L. R. Agostinho, N. M. Ricardo, M. I. Pereira, A. Hiolle and A. M. Pinto, “A Practical Survey on Visual Odometry for Autonomous Driving in Challenging Scenarios and Conditions,” in IEEE Access, vol. 10, pp. 72182-72205, 2022, doi: 10.1109/ACCESS.2022.3188990.

P. Pereira, R. Campilho and A.M. Pinto, “Application of a Design for Excellence Methodology for a Wireless Charger Housing in Underwater Environments,” Machines 202210, 232.

M. Castillón, P. Ridao, R. Siegwart and C. Cadena, “Linewise Non-Rigid Point Cloud Registration,” in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7044-7051, July 2022, doi: 10.1109/LRA.2022.3180038.

M. Castillón, J. Forest and P. Ridao, “Underwater 3D Scanner to Counteract Refraction: Calibration and Experimental Results,” in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2022.3170504.

M. Castillón, A. Palomer, J. Forest and P. Ridao, “Underwater 3D Scanner Model Using a Biaxial MEMS Mirror,” in IEEE Access, vol. 9, pp. 50231-50243, 2021, doi: 10.1109/ACCESS.2021.3069189.

J. Esteba, P. Cieślak, N. Palomeras and P. Ridao, “Docking of Non-Holonomic AUVs in Presence of Ocean Currents: A Comparative Survey,” in IEEE Access, vol. 9, pp. 86607-86631, 2021, doi: 10.1109/ACCESS.2021.3083883.

S. Langiano, C. Verrecchia, M. Marques, J. Formiga, “ATLANTIS: Shaping future robotized O&M in offshore wind“, in Hydrolink, vol. 3, 2021.

M. I. Pereira, R. M. Claro, P. N. Leite and A. M. Pinto, “Advancing Autonomous Surface Vehicles: A 3D Perception System for the Recognition and Assessment of Docking-Based Structures,” in IEEE Access, vol. 9, pp. 53030-53045, 2021, doi: 10.1109/ACCESS.2021.3070694.


WP1 Industry-oriented Showcases for Offshore Wind Farms

WP2 Adaptation of Robotic Platforms for O&M activities & IT systems for the Platform

WP3 Installation of the ATLANTIS Test Center in Viana do Castelo

WP4 Intelligent Services Supported by Robotics

WP5 Operation and Demonstration of the ATLANTIS Test Center

WP6 Long-term Strategy, Technology Industrialization and Business Case

WP7 Impact Analysis, Dissemination, Communication and Exploitation

WP8 & WP9 Project Coordination