LCDR Allan Elsberry
Master Instructor & LCDR, USN
Office: Hopper Hall 237
Email: elsberry@usna.edu
Research Interests
Adaptive Model Parameter Identification, Adaptive Control, Aerial Vehicles, Ground Vehicles
Education & Training
- M.S. Robotics Engineering, Johns Hopkins University, 2024
- M.S. Electrical and Computer Engineering, Georgia Institute of Technology, 2010
- M.B.A., Georgia Institute of Technology, 2010
- B.S. Systems Engineering Honors, United States Naval Academy, 2008
Professional Experience
- Johns Hopkins University Laboratory for Computational Sensing and Robotics PhD Student, 2021-Present
- U.S. Naval Academy, Permanent Military Instructor, 2019 - Present
- VT-86 T-45C Goshawk Instructor Pilot, 2016 - 2019
- VAQ-132 EA-18G Mission Commander, 2013 - 2016
Professional Memberships
- Tau Beta Pi Member, Officer Representative
Honors and Awards
- Johns Hopkins University Ward Fellow 2021 - Present
- General Society Sons of the Revolution, Most Proficient in Naval Weaponry 2008
Significant Publications
- A. H. Elsberry and M. J. Robertson, "Reducing Atomic Force Microscope Tip Deflection using Command Shaping," 2008 40th Southeastern Symposium on System Theory (SSST), pp. 319-323.
- A. H. Elsberry, J. J. Dawkins, A. M. Mao, and L. L. Whitcomb, “Nullspace adaptive identification of plant and actuator model parameters for underactuated ground vehicles: Theory and experimental evaluation,” IFAC-PapersOnLine, vol. 58, no. 28, pp. 1097–1102, 2024, the 4th Modeling, Estimation, and Control Conference – 2024.
- A. H. Elsberry, J. J. Dawkins, and L. L. Whitcomb, “Nullspace adaptive velocity controller for ground vehicles: Theory and experimental evaluation,” IEEE Robotics and Automation Letters, vol. 10, no. 7, pp. 7372–7379, 2025.
