SEAVENTION addresses the goals of the PETROMAKS2 programme by researching and developing competence, novel methods, algorithms and technology for autonomous subsea intervention. The project will develop technology for advanced perception and planning with deep learning capabilities that enables Unmanned Underwater Vehicles (UUV) to perform light intervention tasks semi- or fully autonomously (e.g., cleaning, valve manipulation), while ensuring that operators are kept in the loop. To this end, SEAVENTION will deliver research and competence building on robust subsea perception with active 3D sensors, automated planning for UUV intervention procedures and augmented reality for UUV operator decision support. This is to meet the subsea industry's need for 1) more cost-efficient subsea solutions (autonomous UUVs, reduced need for surface support vessels), 2) increased competitiveness of Norwegian petroleum-related industry (enable them to offer the solutions of the future), 3) increased safety (less personnel offshore with autonomous UUVs, safe UUV operations, less dependence on highly skilled/experienced operators through new decision support systems) and 4) competence-building adapted to the needs of the industry. The main research challenges encompass 1) how to achieve robust 3D object detection and localization subsea, 2) how to merge high-level AI with low-level control for robust subsea intervention, 3) how to achieve dynamic UUV motion planning and decision making under uncertainty, and 4) how to achieve augmented reality for shared intervention control - in order to ensure the right level of autonomy and operator involvement in different subsea operations. Hence full autonomy / operator independence is in many cases not a goal it in self - the goal is to solve the right tasks in the right way. Project results will be tested and demonstrated in state-of-the-art lab facilities and we target also to do sea trials and demonstrations.
Project leader: Aksel Andreas Transeth
Category: Teknisk-industrielle institutter
Institution: SINTEF DIGITAL