Shield AI
Michael Farrell is a proficient software engineer specializing in state estimation at Shield AI, where since January 2020, Michael has been developing C++ software for vision-based state estimation in autonomous quadrotors. His prior experience includes serving as a graduate research assistant at Brigham Young University, where Michael focused on robust landing techniques for multirotor UAVs on moving platforms. Michael also gained experience as an R&D software engineering intern at Brain Corp, where Michael worked on motion planning algorithms, and held mechanical engineering internships at Adsys Controls, Inc. and Aerofit LLC. Michael holds a Master of Science and a Bachelor of Science in Mechanical Engineering from Brigham Young University.
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Shield AI
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Shield AI builds self-driving technology that enables swarms of unmanned systems to operate on the edge without GPS, communications, or remote pilots. Further, by applying reinforcement learning to scalable simulations, Shield AI trains unmanned systems to learn new tactics and behaviors to autonomously accomplish new missions ranging from clearance operations with SUAS to breaching integrated air defense systems with Group 2-5 UAS.