Chana Raksiri
Papers
1
Total Citations
8
H-Index
1
About
Chana Raksiri is a researcher specializing in precision engineering and robotics, with a focus on the geometric accuracy of industrial robotic systems. Their work addresses critical challenges in manufacturing automation, particularly how assembly errors in robotic joints impact end-effector performance. In their most cited paper, "An Analysis of Joint Assembly Geometric Errors Affecting End-Effector for Six-Axis Robots" (2020), Raksiri introduced a novel framework that models geometric errors using 30 parameters derived from Geometric Dimensioning and Tolerancing (GD&T) design—a departure from conventional error modeling approaches. This contribution provides a more systematic method for predicting and compensating for inaccuracies in six-axis robots, enhancing their precision in tasks like assembly and machining. With 8 citations, this work has influenced subsequent studies in robot calibration and error compensation. Raksiri’s research bridges the gap between theoretical tolerancing standards and practical robotic applications, offering valuable insights for engineers and researchers aiming to improve manufacturing quality and efficiency. Their work underscores the importance of meticulous error analysis in advancing industrial automation.
Research Focus
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Top Papers
- 1