T Mcgee

Papers

Total Citations

137

H-Index

About

T. McGee is a leading researcher in autonomous systems and motion planning, with a particular focus on optimal path generation for aerial vehicles under environmental constraints. Their most-cited work, "Optimal path planning in a constant wind with a bounded turning rate" (2005, 137 citations), addresses a critical challenge in unmanned aircraft navigation: computing time-optimal trajectories from a given start to a final pose while accounting for both a bounded turning radius and constant wind fields. Building on foundational work by Boissonnat, McGee extends Dubins-style path planning to realistic aerodynamic conditions, enabling more efficient and robust flight paths for fixed-wing drones operating in windy environments. This contribution has proven essential for applications in surveillance, delivery, and environmental monitoring, where wind cannot be ignored. McGee’s research bridges theoretical optimal control and practical robotics, offering clear geometric solutions to complex nonlinear problems. Their work continues to influence the design of autonomous navigation algorithms, and their citation record reflects sustained relevance in the robotics and aerospace communities.