Andrew Morgan is a research scientist and roboticist with nine years of hands-on experience building high-performance manipulation systems, currently driving full-stack robot development at the RAI Institute’s Agile Manipulation Platform. His work blends rigorous academic research—PhD work at Yale on compliant manipulation, state estimation, and tactile perception—with industrial applied science at Amazon Robotics and startups, spanning mechanical design, control firmware, and reinforcement learning. He has a track record of translating theory into working systems, from designing novel end effectors for cluttered picking environments to control software for atomic-beam 3D printing. Comfortable across hardware and algorithms, he connects mechanical design, optimal control, and learned policies to make robots robust in real-world interaction. A NSF Graduate Research Fellow with top academic performance across dual engineering degrees, he also builds outreach programs and education initiatives that bring robotics to underrepresented youth.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science, Major: 4.0, Overall: 3.98, Bachelor’s Degree, Computer Science, Major: 4.0, Overall: 3.98 at Youngstown State University
Doctor of Philosophy - PhD, Engineering & Applied Science (Robotics), Doctor of Philosophy - PhD, Engineering & Applied Science (Robotics) at Yale University
Contributions:19 commits, 1 PR, 17 pushes in 2 years 7 months
caddesignsopenscad3d-printinghand
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