Patrick L. Friudenberg
Papers
2
Total Citations
12
H-Index
2
About
Patrick L. Friudenberg is a researcher focused on autonomous navigation and guidance systems, particularly for unmanned aerial vehicles (UAVs) and mobile robots. His work bridges industrial robotics, military applications, surveying, and autonomous delivery systems. Friudenberg’s key contribution is the development of a novel guidance method that integrates potential field theory with proportional navigation theory. This hybrid approach allows autonomous machines to navigate dynamically and avoid obstacles while pursuing a target, addressing a critical challenge in full autonomy. His most cited work, *"Mobile Robot Rendezvous Using Potential Fields combined With Parallel Navigation"* (2018, 10 citations), lays foundational groundwork for applications in UAVs, autonomous ground vehicles, and autonomous undersea vehicles. His earlier thesis (2015, 2 citations) surveys existing UAV guidance methods and introduces the combined potential field and proportional navigation framework. Though his citation counts are modest, Friudenberg’s work represents an early, practical step toward scalable autonomous systems, offering a computationally efficient solution for real-time navigation in complex environments. His research is particularly relevant for engineers and students developing next-generation autonomous machines for both civilian and defense sectors.
Research Focus
Key Achievements
Top Papers
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- 2