At Premium Robotics GmbH, Jonas Scheid is responsible for control and regulation technology for their innovative robotic system. The company focuses on developing scalable automation and networking solutions for complex depalletizing processes in the retail and logistics sectors.
Scheid highlights the successful partnership with SimTech, where they are jointly working on a generic modeling and simulation workflow for mechatronic systems. This collaboration aims to make modeling and simulation tools accessible to small and medium-sized enterprises (SMEs), thereby enhancing innovation and competitiveness in Germany.
The collaboration with SimTech originated from Premium Robotics' proximity to university research institutions, which facilitated the transfer of scientific advancements into industrial applications. Some employees, including Scheid, had previously studied at the University of Stuttgart and were already familiar with SimTech's competencies in modeling and simulation. The SimTech METEOR Challenge provided an excellent opportunity to initiate this industrial research partnership.
SimTech is an expert in analyzing and modeling complex issues and is directly at the source of the latest research approaches and solutions.
M.Sc. Jonas Scheid, Development Engineer, Premium Robotics GmbH
Scheid emphasizes the unique strength of this collaboration, which lies in merging research expertise with industrial know-how. SimTech excels in analyzing and modeling complex issues, while Premium Robotics understands the practical challenges and implementation hurdles in the industry. This synergy aims to make promising research topics industrially applicable, promoting the future viability of SMEs.
The joint workflows developed with SimTech have significantly improved the modeling and simulation of Premium Robotics' mechatronic systems. The robotic system's main task is handling variable product types, and understanding its exact behavior allows for the use of compliant lightweight structures and highly dynamic operation while maintaining positional accuracy. These developments contribute to improving the company's development cycles and optimizing the resource lifecycle of their products through reduced material use and energy demand.
Looking to the future, Scheid expresses a strong desire to continue the cooperation with SimTech beyond the current project. He envisions further development of the current topic or exploring new areas of interest. Additional relevant topics for potential collaboration include examining decision-making processes with uncertain input parameters, crucial for logistics planning in warehouses, and developing AI-supported motion planning for time- and energy-optimized motion control of automation systems.