Making a Grasp Planner to enable robots to find a way to grasp objects. Using grasp planners flexibility in assembly technology can be greatly improved. • Diving deep into the topic to analyse the state of the art of 40 years of grasp planning.• Implemented an own grasp planner based on an OpenSource Software and written in C++.

Successfully solved the inverse kinematic of robots using a neural network programmed in Python and TensorFlow to enhance positioning accuracy.

Applied a reinforcement-learning algorithm written in Python to smooth trajectories of CNC-Machines.

• Assisted performing and writing regression tests in Java• Helped executing accuracy measurements of the LBRmed robot and their evaluation.

Designed and implemented a software tool for processing large quantities of measurement data using imcFAMOS and VBA.

• Evaluated climate data, which were used for requirement analysis.• Assisted the team doing presentations and calculations using MS PowerPoint and Excel.