Andrei Herdt is a Staff Robotics Machine Learning Engineer with 16 years of experience building legged and wheeled mobile robots, from biped and quadruped platforms to autonomous vehicles. He combines deep expertise in model-based control, motion planning and reinforcement learning with hands-on software engineering practiced at Dyson, BMW, Arrival, and now Tesla. His work spans research-grade model predictive control for humanoids through product-focused dead-reckoning and trajectory planning, giving him a rare ability to move algorithms from lab to deployed systems. Based in Palo Alto, he has led control teams in startups and large organizations, often solving the hardest real-world stability and push-recovery problems that bridge perception, dynamics and safety. An under-the-radar strength is his fluency across the stack—control math, embedded execution, and large-scale agile software delivery—enabling rapid iteration on challenging locomotion use cases.
15 years of coding experience
9 years of employment as a software developer
Master's degree Elektro- und Informationstechnik, Master's degree Elektro- und Informationstechnik at Karlsruhe Institute of Technology (KIT)
Master's degree Automatisierungstechnik/Techniker, Master's degree Automatisierungstechnik/Techniker at Grenoble INP - UGA
:wrench: dotfiles for linux with focus on vim, git and bash
Contributions:86 pushes in 6 years 5 months
vimtmuxlinuxbashneovim
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Andrei Herdt - Staff Robotics Machine Learning Engineer at Tesla