Janis Lenz completed both his Bachelor's and Master's degrees in Mechatronics at Technische Universität Darmstadt. During his Master's studies, he specialized in the field of Embedded Systems, with a particular focus on robotics and machine learning.
In his Master's thesis, he investigated the solution of an robotic insertion task using multimodal input signals and model-based reinforcement learning. To this end, he enhanced an existing physical test bench and integrated both visual and tactile sensors into the system's control loop. For learning from these pixel-based inputs, he employed the model-based reinforcement learning algorithm Dreamer, which enables end-to-end training.
Since summer 2025, Janis Lenz has been working as a research associate at the Institute for Mechatronic Systems (IMS) in the field of robotic systems. His research focuses on the application of state-of-the-art machine learning algorithms and methods for the control of robotic systems in industrial environments.
