M. Hafezipour
Papers
2
Total Citations
31
H-Index
2
About
M. Hafezipour is a researcher specializing in precision robotics, with a primary focus on enhancing the kinematic accuracy of robotic manipulators. Their work addresses a critical challenge in robotics: the inherent uncertainties caused by joint clearances and link dimension deviations, which degrade the positional accuracy of robot end-effectors. Hafezipour’s major contribution lies in developing systematic uncertainty analysis methods that not only quantify these deviations but also provide a framework for error reduction in spatial robots. Their most influential work, "An uncertainty analysis method for error reduction in end-effector of spatial robots with joint clearances and link dimension deviations" (2016), has garnered 29 citations, reflecting its significance in the field. This paper offers a statistical approach to estimate and mitigate the effects of mechanical uncertainties, enabling the design and manufacture of higher-precision robots. Hafezipour’s research is particularly valuable for applications requiring exacting accuracy, such as surgical robotics, automated assembly, and aerospace manufacturing. Their work bridges the gap between theoretical uncertainty quantification and practical error compensation, making it essential reading for engineers and researchers striving to improve robotic performance in real-world environments.
Research Focus
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Top Papers
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