Igor De Mello
Papers
1
Total Citations
27
H-Index
1
About
Igor De Mello is a pioneering researcher in additive manufacturing and automation, whose work bridges the gap between 3D printing and intelligent robotic systems. His key research areas include sequential additive manufacturing, process monitoring, and the integration of robotic manipulation with 3D printing workflows. De Mello’s major contribution lies in developing systems that enable automatic removal and handling of finished parts from 3D printer build plates, allowing printers to operate continuously without human intervention. His most-cited paper, “Sequential additive manufacturing: automatic manipulation of 3D printed parts” (2017), has accumulated 27 citations and introduces a monitoring system paired with a two-degree-of-freedom planar robotic arm to autonomously extract completed parts. This work addresses a critical bottleneck in additive manufacturing—the need for manual part removal—and paves the way for fully automated, round-the-clock production. De Mello’s research is notable for its practical approach to industrial automation, offering scalable solutions that enhance throughput and reduce labor costs. His contributions are particularly valuable for researchers and engineers seeking to advance smart manufacturing and cyber-physical production systems.
Research Focus
Key Achievements
Top Papers
- 1