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Autonomous vehicles such as UGVs or UAVs are today capable of completing simple missions on their own or can fulfill tasks remotely controlled via a command center. The increasingly connected world can make it possible to delegate more extensive and comprehensive missions to autonomous systems, and this is where TITUS steps in. Our operational approach is based on the foundations of being able to deploy autonomous systems more effectively through the ever-increasing interconnectivity (IoT). The goal is to parallelize processes and reduce dependencies in order to execute algorithms as time- and energy-efficiently as possible.

Furthermore, TITUS Research has the knowledge and experience to create a Digital Twin encompassing the operations area. A concrete example of the application of such systems is in industrial areas like ports, airports, or logistics centers. In the context of increasing digitalization and autonomization, we are looking for ways to manage the interactions between the autonomous systems and to fulfill their missions efficiently. This requires a centralized collection, processing, and provision of data to enable planning and control of all processes from a higher level.

To handle the high system complexity and the diversity of parameters and optimization criteria, we rely on artificial intelligence and machine learning. From the abundance of collected data, updated mission specifications are derived and passed on to the respective systems.

We are looking to the future of urban infrastructures. Our vision is to apply our operating system to cities to make life more efficient and sustainable for everyone. This ambitious task requires not only technical but also sociotechnical approaches, where the human being is at the center.