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FDCL Research at the 2022 SEAS R&D Showcase

Taeyoung Lee
Written by Taeyoung Lee
Photograph from the FDCL announcement: FDCL Research at the 2022 SEAS R&D Showcase
From FDCL’s April 27, 2022 announcement.

FDCL presented six projects at the 2022 SEAS Research and Development Showcase, spanning learning, perception, estimation, and autonomous flight.

  • Zichao Hou: Reinforcement learning for adaptive plasma cancer treatment with electrochemical impedance spectroscopy.
  • Maneesha Wickramasuriya: Deep image segmentation and object tracking for known 3D objects.
  • Beomyeol Yu: Equivariant reinforcement learning for quadrotor UAVs.
  • Kanishke Gamagedara: Autonomous shipboard landing of a UAV in a GPS-denied environment.
  • Weixin Wang: Bayesian point-cloud registration with the matrix Fisher–Gaussian distribution.
  • Tejaswi K. C.: Constrained imitation learning for a flapping-wing UAV.

The lab shared photographs of the showcase on April 26 and the research posters on April 27.

Additional photograph from the FDCL announcement: FDCL Research at the 2022 SEAS R&D Showcase
FDCL Research at the 2022 SEAS R&D Showcase — photograph 3
Additional photograph from FDCL’s April 27, 2022 announcement.

Original FDCL announcement — April 27, 2022

Original FDCL announcement — April 26, 2022

Taeyoung Lee
Written by

Taeyoung Lee

Taeyoung Lee is a professor in the Department of Mechanical and Aerospace Engineering at The George Washington University, with a courtesy appointment in Computer Science. He directs the Flight Dynamics and Control Laboratory and joined GW in 2011 after serving on the faculty at the Florida Institute of Technology. He earned his Ph.D. in Aerospace Engineering and M.S. in Mathematics from the University of Michigan in 2008.