Dijana Cvetkoska
Papers
1
Total Citations
16
H-Index
1
About
Dijana Cvetkoska is a researcher whose work lies at the intersection of kinematics, screw theory, and robotics, with a particular emphasis on solving complex inverse kinematics problems through geometric and algorithmic methods. Her most cited paper, "Algorithmic approach to geometric solution of generalized Paden–Kahan subproblem and its extension" (2018, 16 citations), represents a significant contribution to the field by extending classical screw theory approaches. In this work, Cvetkoska develops a systematic algorithmic framework for addressing the generalized Paden–Kahan subproblem, a foundational challenge in robotic motion planning that involves determining joint configurations from desired end-effector poses. By mathematically assembling kinematic elements through screw theory, she provides a more versatile and computationally efficient solution compared to traditional numerical methods. Her approach enhances the geometric intuition behind robotic motion, enabling more precise control of manipulators. While her citation count reflects a focused, emerging impact, Cvetkoska’s work is notable for bridging theoretical geometry with practical algorithmic implementation, offering a clear pathway for researchers and students seeking to understand the elegant mathematical underpinnings of robotic kinematics. Her contributions are particularly valuable for those working on real-time motion planning and control in robotics.
Research Focus
Key Achievements
Top Papers
- 1