Throughout the duration of the project REMARO has worked on reliable AI methods for perception, reliable AI methods for knowledge representation, planning and mission execution, and tools and methods for safety, risk assessment, and self-diagnosis. The network has published results on sonar scene reconstruction, object detection, active learning, deep-learning-based pose estimation, and recognition of underwater species. REMARO ESRs have become experts on underwater simulation environments, underwater knowledge representation, automated runtime diagnosis and reconfiguration (meta-control), and risk averse planning under uncertainty. Other ESRs produced methods for testing underwater robot controllers, analysis of neural network controllers for safety, analysis of knowledge graphs and knowledge bases for correctness, and generating underwater test data for perception. All these methods, even those that are general, have been demonstrated in maritime applications, some in the actual maritime environments.
REMARO has organized nine training events, and several research workshops including two public events at established venues in robotics (ICRA) and formal methods (ETAPS). The trainings covered theoretical aspects (control theory), robot software engineering, robot software architecture, robot dynamics and control, perception, deliberation, but also transferable aspects such as ethics and handling stress in the dissertation process. They involved site visits to EIVA in Skandeborg/Denmark, DFKI in Bremen/Germany and DNV in Oslo/Norway, Ocean Scan in Porto, giving the ESRs exposition to the breadth of marine safety and engineering industry. REMARO has co-sponsored a prestigious PhD school on Probability in Computer Science (PICS) jointly with the European Association of Theoretical Computer Science, European Association for Theory and Practice of Software, ACM SIGPLAN, and ACM SIGSOFT. All ERSs have completed the training program, and five have already handed in their dissertations while the others are on track to completion.
Our online repositories include eight released marine datasets and ten open-source software artifacts. More than fifty research papers have been prepared. Most are published and available under an open-access agreement.
