Summary
Brian Ichter is a robotics and AI systems entrepreneur and researcher focused on enabling real-world robotic operation through fast, robust motion planning and machine learning. As Co-Founder of Physical Intelligence since 2024, he leads efforts to bring advanced planning and perception-aware robotics from lab to product in the San Francisco Bay Area. Previously at Google (2018–2024) he conducted research on kinodynamic and uncertainty-aware planning, translating GPU-accelerated algorithms into scalable robotic systems. At Stanford's Autonomous Systems Lab, he developed learning-based sampling and planning in latent spaces, demonstrated quadrotor experiments, and produced theoretical results on low-dispersion sampling for sampling-based motion planning. He holds a BS in Aerospace Engineering and Physics from the University of Virginia and an MS/PhD in Aerospace Engineering from Stanford, reflecting a blend of rigorous theory and hands-on engineering across academia, tech, and startups.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS), Aerospace Engineering, Physics, Bachelor of Science (BS), Aerospace Engineering, Physics at University of Virginia
Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering at Stanford University