Khalil M. Ahmad Yousef
Papers
8
Total Citations
254
H-Index
6
About
Khalil M. Ahmad Yousef is a researcher whose work spans robotics, computer vision, sensor fusion, and cyber-physical security — fields that lie at the intersection of autonomous systems and real-world safety. He is perhaps best known for his contributions to robot-world hand-eye calibration, with his 2017 iterative methods paper accumulating 115 citations, establishing him as a leading voice in solving one of robotics' most technically demanding geometric problems. His earlier work on parameterizing camera reprojection error (2015) laid important groundwork for that breakthrough. Yousef has also made meaningful contributions to multi-sensor fusion, including 3D interior mapping architectures and camera-lidar extrinsic calibration for systems where sensors lack overlapping fields of view — a practical challenge in real-world SLAM deployments. Beyond perception and calibration, Yousef has carved out a distinctive niche in robotic cybersecurity, analyzing threats on robotic platforms and conducting security risk assessments of both mobile and humanoid robots — work that is increasingly vital as robots integrate into networked environments. With over 250 cumulative citations, his research speaks to students and engineers navigating the dual challenges of making robots more capable and more secure.
Research Focus
Key Achievements
Top Papers
- 1Solving the robot-world hand-eye(s) calibration problem with iterative methods115 citations · 2017
- 2Analyzing Cyber-Physical Threats on Robotic Platforms40 citations · 2018
- 3
- 4Extrinsic Calibration of Camera and 2D Laser Sensors without Overlap28 citations · 2017
- 5
- 6Security risk assessment of the PeopleBot mobile robot research platform11 citations · 2017
- 7
- 8Security Risk Assessment of Humanoid Robotics: DARWIN-OP2 as Case Study2 citations · 2024