Summary
Brian Ichter is a robotics-focused entrepreneur and researcher with 11 years of experience building fast, robust algorithms to enable real-world autonomous systems. As Co-Founder of Physical Intelligence and a former Research Scientist at Google, he specializes in sampling-based motion planning, GPU-parallel algorithms, uncertainty- and perception-aware planning, and learned accelerations for kinodynamic systems. His PhD work at Stanford combined theoretical analysis, conditional variational autoencoders for learned sampling distributions, and experimental quadrotor validation—bridging theory, ML, and hardware. He has a strong aerospace foundation from Stanford and UVA, and a track record of shipping high-performance research code and demonstrations. Notably, he has pushed planning into learned latent spaces and scaled planning computations on GPUs, making probabilistic, perception-driven planning tractable in real time. Based in the Bay Area, he blends deep academic rigor with product-oriented execution in startups and large tech research environments.
11 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