Papers
8
Total Citations
57
H-Index
5
About
Omar Abdelaziz is a roboticist whose research bridges human-robot collaboration, medical robotics, and intelligent control systems. His work focuses on enabling safer, more intuitive interactions between humans and robots, particularly through dynamic task/posture control and direct teaching methods. His most cited paper, "Towards Dynamic Task/Posture Control of a 4DOF Humanoid Robotic Arm" (2020, 14 citations), exemplifies his contributions to making robots more adaptable and responsive. Abdelaziz has also made significant strides in collaborative robotics, developing a zero-moment control algorithm that allows robots to be taught directly through joint moment compensation—a breakthrough for intuitive programming. His impact extends into medical applications, where he has advanced vision-guided puncture robotics systems for computer-assisted surgery, achieving precise positioning through innovative inverse kinematics solutions. With over 57 citations across his key works, Abdelaziz is recognized for his analytical rigor, including a general algorithm for 6-DOF collaborative robots that addresses the challenge of closed-form inverse kinematics. His recent work on a 7-DOF tendon-like-driven robot, combining optimization with deep learning, signals his continued push toward more flexible, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Towards Dynamic Task/Posture Control of a 4DOF Humanoid Robotic Arm14 citations · 2020
- 2
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- 4Vision solution for an assisted puncture robotics system positioning8 citations · 2018
- 5
- 6Multiple configurations for puncturing robot positioning3 citations · 2019
- 7MULTIPLE CONFIGURATIONS FOR PUNCTURING ROBOT POSITIONING2 citations · 2019
- 8