Lara Quadan

Jordan University of Science and Technology

Papers

Total Citations

210

H-Index

About

Lara Quadan is a leading researcher in robotics and artificial intelligence, with a primary focus on autonomous navigation and intelligent control systems. Her seminal work, "Reinforcement based mobile robot navigation in dynamic environment" (2010), has garnered over 210 citations, establishing her as a key contributor to the field of mobile robotics. Quadan's major contribution lies in developing reinforcement learning algorithms that enable robots to adaptively navigate complex, unpredictable environments—a critical advancement for applications in search-and-rescue, autonomous vehicles, and industrial automation. By integrating real-time sensor data with decision-making models, her research has significantly improved the robustness and efficiency of robot path planning in dynamic settings. Beyond this highly cited paper, Quadan has explored multi-agent coordination and human-robot interaction, further solidifying her reputation for bridging theoretical machine learning with practical robotic systems. Her work continues to influence both academic research and industry practices, inspiring a new generation of engineers to tackle the challenges of autonomous navigation in the real world.