Jan-Niklas Schneider

RWTH Aachen University, Fraunhofer Institute for Laser Technology

Papers

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About

Jan-Niklas Schneider is at the forefront of a transformative field: the integration of mobile robotics with laser materials processing (LMP). His research centers on solving the critical challenge of motion planning and control for articulated robotic arms used in high-precision laser applications. Schneider’s major contributions include pioneering the use of model-based reinforcement learning to enhance trajectory accuracy, a breakthrough that addresses the limitations of traditional motion planning methods. He has also advanced the field through LSTM-based inverse dynamics learning, developing automated data acquisition methods to improve robotic control, as demonstrated with the Franka Emika Robot. Though early in his career, his work has already garnered attention, with his 2023 paper on mobile robots in LMP accumulating 6 citations, establishing a foundation for future impact. Schneider’s research is particularly notable for its practical, application-driven approach, aiming to bring the flexibility of mobile robots to industrial laser systems. His achievements point toward a future where autonomous, adaptive robots can perform complex material processing tasks with the precision traditionally reserved for fixed systems, marking him as a rising innovator in manufacturing robotics.