Economic Ship Assist | Smart Green City
The project on Lake Constance aims to optimize the docking maneuvers of the fully electric ship MS Mainau using AI-assisted components. A digital twin, containing a mathematical model of the ship, calculates the optimal docking course and an energy-efficient speed profile, taking wind and currents into account. In addition to energy consumption, time and safety are also considered. The results could be used for other ships in the future. more...
Research Vessel Solgenia
With the help of an optical sensor setup consisting of laser sensor, cameras, GPS and inertial sensor technology, the environment of the boat and its own movement will be recorded. From this data, the environment is to be described as precisely as possible in order to realize applications such as autonomous docking or collision avoidance. more...
Magnet actuators
Due to the ongoing progress in microelectronics, components are getting smaller and often more sensitive. This results in demands on the gripper for the assembly of these components. In cooperation with the ETO group, gripper prototypes are to be investigated which generate the required linear motion by using magnetic shape memory alloy. Topics such as position control, force control, self-sensing and modeling will be investigated. more...
Control Engineering
The group deals with issues in the areas of modeling of complex electrodynamical systems, and their control subject to optimality criterions. Other projects are established in the topics signal-processing, sensor and data fusion with statistical data allocation, and Target Tracking. In the area of fast-switching actuators, strategies are developed which involve energy-optimality and diminished noise emission. In the area of collision avoidance, maneuvers are scheduled which are optimal regarding environmental conditions or energy management. To this effect, decisions are made according to uncertain constraints.