Aayman Khalid
Papers
2
Total Citations
126
H-Index
2
About
Dr. Aayman Khalid is a leading figure in open-source robotics and autonomous manipulation, whose work has fundamentally advanced accessible, educational robotic platforms. His research focuses on developing low-cost, high-precision robotic systems that bridge the gap between academic learning and real-world industrial applications. Dr. Khalid’s most influential contribution is the creation of an open-source, multi-degree-of-freedom (DOF) articulated robotic platform, which has garnered 80 citations for its transformative role in autonomous object manipulation education. This platform, alongside his earlier work on an autonomous image-guided robotic system (46 citations), demonstrates his expertise in integrating precise servo control—achieving ±0.5mm positional accuracy—with computer vision for industrial simulation. By designing a 6-DOF vertical articulated arm from accessible components, he has empowered students and researchers worldwide to experiment with forward and inverse kinematics, grasping, and vision-guided control without prohibitive costs. Dr. Khalid’s commitment to open-source principles has made complex robotics research reproducible and scalable, establishing him as a key enabler of next-generation automation education. His work continues to inspire practical, hands-on approaches to robotics, directly impacting curricula and low-cost automation solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2An autonomous image-guided robotic system simulating industrial applications46 citations · 2012