Summary
Fabian Jenelten is a research scientist in Zürich with nine years of experience developing real-time, on-board perceptive systems for legged robots. He completed a PhD at ETH Zürich's Robotic Systems Lab under Prof. M. Hutter, where he built a fully onboard locomotion pipeline combining model-based planning with RL tracking policies. His work spans probabilistic contact estimation, real-world deployment in DARPA SubT efforts, and engineering robust controllers that run under strict latency and compute constraints. Now at the RAI Institute, he focuses on embodied AI that fuses perception and control for agile mobility in complex terrains. Fabian brings a hands-on systems mentality—bridging simulation, formal planners, and learned policies—to deliver field-ready robotic autonomy. Colleagues know him for turning theoretical insights into compact, deployable software stacks that prioritize real-time reliability.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MSc, Mechanical Engineering, Master of Science - MSc, Mechanical Engineering at ETH Zürich
German, English, Italian