Umar Tabrez Shami
Papers
1
Total Citations
13
H-Index
1
About
Umar Tabrez Shami is a robotics researcher whose work centers on the control and kinematics of robotic manipulators, with a particular focus on achieving precise and accurate motion. His most cited paper, "Design and comparison of linear feedback control laws for inverse Kinematics based robotic arm" (2017, 13 citations), addresses a fundamental challenge in robotics: calculating the desired joint angles from a target position in Euclidean space, and then designing efficient control laws to achieve that position. This work systematically compares linear feedback strategies, offering practical insights for improving robotic arm performance. Shami’s contributions are valuable for students and engineers working on industrial automation, assistive robotics, or any application requiring reliable arm control. While his citation count reflects a focused, early-career impact, his research provides a clear, comparative framework that helps bridge the gap between theoretical kinematics and real-world control implementation. His work is a solid reference for those seeking to understand the trade-offs in linear control for inverse kinematics problems.
Research Focus
Key Achievements
Top Papers
- 1