Sean George

About

Sean George is a leading researcher at the intersection of aerospace guidance and edge-deployed artificial intelligence. His foundational work on "Band-Limited Guidance and Control of Large Parafoils" (2009) has garnered 54 citations, establishing core principles for precision aerial delivery systems. More recently, George has pioneered the application of machine learning on small unmanned aerial vehicles (UAVs), as detailed in his 2020 paper. This work addresses the critical challenge of pushing ML inference to resource-constrained edge devices, demonstrating how to overcome severe power, weight, and processing limitations. As a Principal Member of the Technical Staff at Draper Laboratory, he bridges classical control theory with modern AI, enabling autonomous systems to make real-time decisions without cloud connectivity. His contributions are vital for next-generation defense and commercial drones that require onboard intelligence. George’s research continues to shape how small UAVs perceive and act in complex environments, making him a key figure in the evolution of autonomous flight systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Band-Limited Guidance and Control of Large Parafoils

   54 citations · 2009
2. 2
   Machine Learning on Small UAVs

   11 citations · 2020

Key Collaborators

Contact & Links