Navid Dadkhah

Papers

Total Citations

168

H-Index

About

Navid Dadkhah is a leading researcher in autonomous systems, with a primary focus on motion planning and guidance for unmanned aerial vehicles (UAVs) under uncertainty. His seminal work, "Survey of Motion Planning Literature in the Presence of Uncertainty: Considerations for UAV Guidance" (2011), has garnered 152 citations, establishing a foundational framework for navigating the complex interplay between environmental unpredictability and autonomous decision-making. This comprehensive survey systematically categorizes and evaluates motion planning algorithms, highlighting critical challenges such as sensor noise and dynamic obstacles, and remains a go-to resource for engineers and academics developing robust UAV guidance systems. Dadkhah further advanced the field with his work on "Research Infrastructure for Interactive Human- and Autonomous Guidance" (2012), which bridges human-robot interaction and autonomous control, enabling safer and more intuitive collaboration between operators and drones. His contributions have directly influenced the design of resilient, real-time navigation systems, making him a key figure in the evolution of autonomous aerial robotics.