Abdelwahab Azzedine
Papers
3
Total Citations
47
H-Index
3
About
Abdelwahab Azzedine is a leading researcher in robotics and precision manufacturing, specializing in the optimization and error compensation of robotic systems for industrial applications. His work focuses on solving critical challenges in robotic positioning, path planning, and kinematic accuracy, particularly for high-precision tasks like drilling and machining. Azzedine’s major contributions include developing interactive methods to analyze and compensate for positioning errors, significantly enhancing the reliability of robotic manipulators. His 2023 paper on this topic has garnered 16 citations, reflecting its impact on improving real-world robotic performance. Additionally, his 2019 study on using genetic algorithms to determine optimal paths for three-axis robots—applied to drilling processes in manufacturing and PCB production—has also earned 16 citations. Azzedine’s 2018 quantitative and qualitative analysis of kinematic problem-solving methods for planar parallel manipulators, which optimized precision error, has been cited 15 times. His work bridges theoretical optimization and practical automation, offering actionable solutions for industries seeking to reduce errors and increase efficiency. Azzedine’s research is essential reading for engineers and researchers aiming to advance robotic precision in manufacturing.
Research Focus
Key Achievements
Top Papers
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