Papers
1
Total Citations
6
H-Index
1
About
Dr. Azmi Hassan is a researcher whose work centers on industrial robotics, with a particular focus on enhancing precision and reliability in automated manufacturing. His key research areas include robot repeatability analysis, positional error minimization, and the performance of robotic systems under real-world, loaded conditions. Dr. Hassan’s major contribution lies in systematically investigating how external factors—such as varying loads and distances—affect the accuracy of industrial robots, a critical concern for high-precision tasks. His most cited work, "The repeatability analysis of industrial robot under loaded conditions and various distances" (2008, 6 citations), provides foundational insights into the trade-offs between flexibility and positional error, offering practical guidelines for optimizing robot deployment in production lines. While his citation count reflects a focused, niche impact, this study is notable for addressing a persistent obstacle in robotics applications: ensuring consistent performance when robots operate under actual working conditions rather than idealized lab settings. Dr. Hassan’s research is particularly valuable for engineers and students seeking to bridge the gap between theoretical robot capabilities and their reliable, day-to-day use in industry.
Research Focus
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Top Papers
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