Nathan Michael is Shield AI's Chief Technology Officer and an Associate Research Professor in the Robotics Institute of Carnegie Mellon University (CMU). At CMU, Professor Michael is the Director of the Resilient Intelligent Systems Lab, a research lab dedicated to improving the performance and reliability of artificially intelligent and autonomous systems that operate in challenging, real-world and GPS-denied environments. Nathan has authored over 150 publications on control, perception, and cognition for artificially intelligent single and multi-robot systems, for which he has been nominee or recipient of nine best paper awards (ICRA, RSS, DARS, CASE, SSRR). In 2012, following the Fukushima Daiichi nuclear disaster in Japan Nathan was among a team of researchers who developed a two-robot system to assist in the disaster response. Nathan was recognized for his work in Japan in 2014, receiving the Popular Mechanics Breakthrough Award and Robotics Society of Japan Best Paper Award. Over his decades-long his career in research, Nathan has led research programs supported by ARL, AFRL, DARPA, DOE, DTRA, NASA, NSF, ONR, and industry.
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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.