John Yao is a Senior Autonomy Engineer at Shield AI, where they have worked since 2020. They previously held various research assistant roles and gained extensive experience in robotics, including state estimation, control algorithms, and aerial robotics during their time at Carnegie Mellon University and the University of Toronto. John earned both a Master's and a Ph.D. in Robotics from Carnegie Mellon University, where they also contributed to teaching as a graduate teaching assistant. Their diverse research background includes projects on vision-based control laws for unmanned ground vehicles and a method for reducing IMU pose estimation error.
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