Robotic Systems

Robotic systems are often used in industrial applications due to their flexible automation capability and the consistently high quality. Especially in the course of Industry 4.0, there is a number of challenges that can be identified for future-oriented and connected automation solutions.

These include for example increased flexibility and user friendly commissioning. At the same time, rising energy prices and environmental awareness demand for high ecological and economic efficiency.

Tailored to these challenges, our research activities consider the planning, control and optimization of action sequences and robot motion, taking into account future-oriented performance indicators, supplemented by an overall view on the mechatronic system. This results in new boundary conditions for redundant manipulators and collaborative systems, both with regard to motion control and system design.

A balance of data-driven and model-based methods and the combination of classical robotic approaches with current machine learning algorithms opens up the possibility to address opposing goals, such as a higher flexibility in production with a simultaneously increasing degree of automation.

The direct cooperation between humans and robots can relieve the former and increase efficiency. This transition implies the need for new types of safety concepts and modified mechatronics.

Our current activities in method and system development cover the following areas: