James Goppert
Papers
6
Total Citations
44
H-Index
4
About
James Goppert’s research sits at the intersection of autonomous aerial systems, robust state estimation, and multi-robot security, with a strong emphasis on practical, open-source solutions for unmanned aerial vehicles (UAVs). His most cited work, “Realization of an Autonomous, Air-to-Air Counter Unmanned Aerial System (CUAS)” (18 citations), addresses the critical security gap posed by small UASs through a proven net-entanglement method, demonstrating his focus on deployable countermeasures. He has also advanced visual odometry for UAVs with an invariant Kalman filter approach (12 citations), providing a high-bandwidth alternative to GPS that is especially valuable when satellite signals degrade. More recently, Goppert developed an open-source Gazebo plugin for simulating GNSS multipath errors in urban canyons, a tool that enables more realistic testing of navigation algorithms. His work extends to energy optimization in flapping-wing robots via evolutionary algorithms and to multi-robot integrity monitoring against cyberattacks, using range-based, anchor-free techniques. Across these contributions, Goppert consistently bridges theory and application, creating tools and methods that enhance the autonomy, resilience, and security of robotic systems in challenging environments.
Research Focus
Key Achievements
Top Papers
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