Domenico Fabio Migliore
Papers
1
Total Citations
4
H-Index
1
About
Domenico Fabio Migliore is a researcher focused on the intersection of robotics, mechanical systems, and simulation-based analysis, with a particular emphasis on collaborative robotics and the impact of mechanical imperfections on performance. His work addresses critical challenges in human-robot interaction and precision engineering, notably through his most-cited paper, "Simulation of the Effects of Backlash on the Performance of a Collaborative Robot: A Preliminary Case Study" (2022, 4 citations). This study provides foundational insights into how backlash—a common mechanical issue—affects the accuracy and reliability of collaborative robots, offering simulation-driven solutions to enhance real-world deployment. Migliore’s contributions are significant for advancing the design of safer, more efficient robotic systems in industrial and service settings. While his citation count is modest, his work demonstrates a rigorous, problem-solving approach that bridges theoretical modeling and practical application. His research is particularly valuable for students and engineers seeking to understand the nuanced interplay between mechanical tolerances and robotic behavior, positioning him as a thoughtful contributor to the evolving field of collaborative automation.
Research Focus
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Top Papers
- 1