Kanishke Gamagedara

Kanishke Gamagedara

Sensor Fusion & Navigation at Kearfott

PhD in Mechanical & Aerospace Engineering

Specialized in UAV control and state estimation


I work on sensor fusion and navigation at Kearfott. My work here involves working with state-of-the-art high-performance inertial navigation sensors (monolithic ring laser gyros (MRLGs) + accelerometers), and their sensor fusion algorithms. This includes developing novel fusion algorithms for DO-178c compliant safety-critical embedded GNSS/INS systems (EGI) following model-based design approach using Mathworks Simulink toolboxes, from requirements to test cases.


Before that, I was a Robotics and Control Engineer working on UAVs at American Robotics. My work there involved mainly with improving the vision-based landing system of the American Robotics UAV system, “Scout”.




I earned my PhD at The George Washington University, and I worked at the Flight Dynamics and Control Lab. My PhD research focused on geometric control and estimation for autonomous UAVs operating in ocean environments, tackling challenges like ship air-wake disturbances, GPS time delays, and vision-based autonomous landing on moving vessels. That involved developing UAV controllers and estimators, and hardware/software systems, that are capable of handling ocean environments. My dissertation was titled Geometric Control and Estimation for Autonomous UAVs in Ocean Environments.




I received my master’s degree at the George Washington University in Mechanical and Aerospace Engineering, specializing in robotics and control. I completed my bachelor’s degree in Mechanical Engineering at the University of Peradeniya, Sri Lanka 🇱🇰.


In my free time, I like to wander around.




Experience

Sensor Fusion and Navigation Engineer
Kearfott
Current
Developing high-performance inertial navigation sensors and safety-critical embedded GNSS/INS systems using model-based design (MathWorks Simulink) and DO-178C compliant software processes.
Robotics and Control Engineer
American Robotics
Previous
Improved vision-based autonomous landing systems for the Scout UAV — a fully autonomous drone-in-a-box platform for industrial inspection.
Graduate Research Assistant
Flight Dynamics and Control Lab, George Washington University
PhD
Developed UAV controllers, state estimators, and integrated hardware/software systems for autonomous operation in ocean environments. Led flight experiments on US Navy vessels.

Education

PhD, Mechanical and Aerospace Engineering
George Washington University
2022
Dissertation: Geometric Control and Estimation for Autonomous UAVs in Ocean Environments
MS, Mechanical and Aerospace Engineering
George Washington University
2018
Specialization in Robotics and Control Systems
BS, Mechanical Engineering
University of Peradeniya, Sri Lanka
2015