Issraa Jwad Kazim
Papers
2
Total Citations
17
H-Index
2
About
Issraa Jwad Kazim is a researcher focused on advancing robotic manipulation and trajectory planning, particularly for collaborative industrial robots. Her work centers on optimizing the performance of universal manipulators through intelligent control algorithms, addressing critical challenges in manufacturing, industry, and surgical applications. Kazim’s most cited paper, “Integration of DE Algorithm with PDC-APF for Enhancement of Contour Path Planning of a Universal Robot” (2021, 13 citations), introduces a novel hybrid approach that significantly improves contour tracking accuracy for the UR5 robot, directly enhancing precision in automated tasks. Her follow-up study, “Comparison Study of the PSO and SBPSO on Universal Robot Trajectory Planning” (2022, 4 citations), systematically evaluates swarm-based optimization methods to overcome common limitations like collision-induced stoppages, aiming to boost production efficiency. By benchmarking particle swarm optimization variants, Kazim provides practical insights for smoother, safer robot motion. Her contributions are vital for researchers and engineers seeking robust, real-world solutions for dynamic robotic environments, demonstrating a clear impact on the field of robotics and automation.
Research Focus
Key Achievements
Top Papers
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- 2