Patrick Bazzoli

Missouri University of Science and Technology

Papers

Total Citations

172

H-Index

About

Patrick Bazzoli is a researcher specializing in industrial robotics, with a particular focus on kinematic error modeling, calibration, and compensation for robotic manipulators. His work addresses a critical challenge in modern manufacturing: improving the positional accuracy of industrial robots beyond the limitations of standard joint measurement systems. Bazzoli's most influential contribution, "Modeling and Calibration of High-Order Joint-Dependent Kinematic Errors for Industrial Robots" (2017), has garnered 159 citations, establishing him as a notable voice in robot calibration research. This work, alongside his 2016 study on joint-dependent kinematic error compensation, tackles the complex errors introduced by bearing systems and harmonic drives — components commonly found in robotic manipulators that traditional calibration methods fail to adequately address. By developing more sophisticated modeling approaches, Bazzoli demonstrated measurable improvements in post-calibration performance. Extending this work into real-time applications, his 2021 paper on kinematic error control moves beyond offline compensation techniques, proposing dynamic correction strategies capable of addressing errors that static volumetric methods cannot resolve. Together, his research forms a coherent body of work aimed at making industrial robots more precise and reliable for high-accuracy manufacturing applications.