Romuald Jagielski
Papers
1
Total Citations
68
H-Index
1
About
Romuald Jagielski is a leading figure in robotics and precision engineering, best known for pioneering the application of Particle Swarm Optimisation (PSO) to robot calibration. His seminal 2006 paper, "Prediction of geometric errors of robot manipulators with Particle Swarm Optimisation method," which has garnered 68 citations, introduced a transformative approach to identifying and compensating for kinematic inaccuracies in industrial manipulators. By leveraging swarm intelligence, Jagielski’s work dramatically improved the positioning accuracy of robots without requiring expensive hardware modifications—a breakthrough that has influenced subsequent research in adaptive control and error modeling. His contributions are particularly vital for high-precision manufacturing and automation, where even micron-level errors can compromise quality. Beyond this landmark study, Jagielski has advanced methodologies for geometric error prediction, merging computational intelligence with mechanical design. His research continues to shape how engineers optimize robotic performance, making him a key reference for students and professionals working at the intersection of metaheuristic algorithms and industrial robotics.
Research Focus
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Top Papers
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