Marcos Pueo
Papers
1
Total Citations
35
H-Index
1
About
Marcos Pueo is a leading researcher in the field of industrial robotics, with a primary focus on kinematic calibration and geometric error modeling. His most-cited work, "Rotation Error Modeling and Identification for Robot Kinematic Calibration by Circle Point Method" (2014, 35 citations), addresses a critical challenge in robotics: the precise identification of a robot’s physical geometry. Pueo’s research bridges the gap between screw axis measurement methods and mathematical optimization processes, offering a robust approach to improving robot accuracy. By developing models that account for rotation errors, he has provided a practical framework for enhancing the performance of industrial robots in real-world applications. His work is particularly valuable for manufacturers seeking to reduce positioning errors without costly hardware modifications. Pueo’s contributions have been recognized by the robotics community, and his findings continue to influence calibration techniques in both academic research and industrial practice. His dedication to refining kinematic models underscores his commitment to advancing automation precision.
Research Focus
Key Achievements
Top Papers
- 1