In the area of industrial and service robotics, the IPR is studying robot-based production and (personal) assistance systems with special focus on using robots in both autonomous and collaborative scenarios. This includes systems in industrial as well as domestic environments. Within an industrial context, typical applications arise in collision free trajectory planning, calibration and new types of programming and iteration schemes. Within a domestic context, typical applications concern assistance systems supporting people in everyday life - like exo-skeletons and robot-based aiding systems for walking and standing up. Further, comprehensive technologies concerning novel sensor systems like visual and haptic sensors, proximity sensors, plus actuator systems like multi-finger manipulators, haptic displays and their necessary respective algorithms for grasp planning, tactile exploration, 2D/3D image processing etc. are being researched.
Furthermore, the IPR studies Hardware solutions and diagnostic and control systems for future production facilities. Applications arise in, e.g., underwater oil and gas mining factories, anticipatory maintenance of offshore facilities, flexible robot-based connection of production and transportation processes, control of robotic teams and swarms and manipulation tasks by micro robots.
Concerning medical robotics, the central topic studied by IPR relate to robot assisted diagnosis and therapy with a special focus on model and knowledge-based surgery for the future operating room. This includes sensor-enhanced autonomous robots for bone adaptations as well as the manipulation of medical tools and objects. Another area of interest relates to telemanipulated robotics for minimal-invasive surgery using flexible instruments and optical fiber sensors for localization and force gauging. Cognitive knowledge-based methods are supposed to lead to a tighter bond of different work processes in the operating room via an intuitive Human-Machine-Interface. This is founded on operation planning systems both for surgical interventions and operation scheduling. Within this context, research concerning verification methods for improved safety is of major importance.