John Emelko

Missouri University of Science and Technology

Papers

1

Total Citations

2

H-Index

1

About

John Emelko is a researcher advancing the precision of industrial robotics, with a primary focus on kinematic error control and backlash compensation. His most-cited work, "A feedforward kinematic error controller with an angular positioning deviations model for backlash compensation of industrial robots" (2024, 2 citations), tackles a critical barrier to the adoption of robots in high-stakes aerospace manufacturing: their inherent millimeter-level accuracy limitations. By developing a feedforward controller that models angular positioning deviations, Emelko directly addresses the mechanical play—or backlash—that undermines robotic precision in tasks like machining. This contribution is pivotal for enabling robots to meet the sub-millimeter tolerances required in advanced aerospace applications, where even slight errors can compromise safety and performance. While his citation count is currently modest, the practical significance of his work lies in its potential to bridge the gap between industrial robotics and high-precision manufacturing. Emelko’s research is a key step toward making robotic systems viable for complex, accuracy-demanding processes, positioning him as an emerging voice in the field of robotic error compensation and industrial automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A feedforward kinematic error controller with an angular positioning deviations model for backlash compensation of industrial robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Missouri University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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