Rabeea Khan

NED University of Engineering and Technology

Papers

Total Citations

H-Index

About

Rabeea Khan is a robotics researcher whose work focuses on autonomous navigation, human-robot interaction, and intelligent control systems. Her most cited paper, "Control Strategies for Mobile Robot With Obstacle Avoidance" (2013, 41 citations), provides a comprehensive survey of obstacle avoidance algorithms—a foundational challenge in robotics. This work systematically evaluates the strengths and limitations of various approaches, offering a valuable resource for researchers designing collision-free navigation for autonomous robots. More recently, Khan has advanced the field of collaborative robotics with her 2021 paper "Algorithm and Implementation of Human Following Co-bot using 2D LiDAR" (2 citations), which addresses the critical task of enabling robots to detect and follow humans in real-world environments. This work has direct applications in surveillance, healthcare, media, and defense, where safe, close-proximity human-robot collaboration is essential. By bridging theoretical control strategies with practical LiDAR-based implementation, Khan contributes to making autonomous robots more adaptive and trustworthy in shared spaces. Her research continues to shape how robots perceive and interact with dynamic environments and human users.