Thesis or Internship: Concept and Implementation of a Digital Twin for the Schunk EGU-Gripper in ROS (m/w/d)
SCHUNK is the world's first choice when it comes to equipping robots and production machines. No matter if it's smartphones or aircraft, compact cars or SUVs, knee joints or nasal sprays: SCHUNK's high-tech components are consistently at the forefront of production. More than 3,500 employees in 9 production facilities and 34 national subsidiaries ensure that precision, efficiency and reliability can be produced anywhere in the world. Digitalization and Industry 4.0 are an everyday reality for us, as our production transforms into a smart factory. Our customers include the who's-who of mechanical and plant engineering, robotics, automation and assembly handling, the automotive industry and its suppliers as well as the electronics industry. All of these industries rely on the topnotch gripping systems, clamping technology and depaneling machines from SCHUNK.
ROS (Robot Operating System) is the most widely used framework in research robotics and the industry is also slowly catching up. This topic revolves around the development of a ROS-based driver for the EGU-Gripper, allowing it to be controlled by a ROS-enabled robot, either in the real world or in a simulation.
You are currently enrolled and looking for a company for your upcoming thesis or an internship? We are offering the opportunity to apply your theoretical knowledge in practice in the Digital Products & Services department as soon as possible.
- Technology research and concept phase
- Implementation of algorithms and software architecture
- Test and validation of the developed digital twin
- Studies in the field of Science, Technology, Engineering or comparable
- Programming background in C++, python and ROS
- Structured and independent approach to work
- Team spirit