Hocine Makri
Papers
1
Total Citations
8
H-Index
1
About
Hocine Makri is a leading researcher in industrial robotics and precision manufacturing, with a focus on enhancing robotic accuracy for high-stakes machining applications. His work centers on calibration strategies, observability indices, and metrology tools to improve the performance of serial industrial robots in tasks like orbital milling. Makri’s most-cited paper (2024, 8 citations) introduces a novel calibration framework using the telescopic ballbar and observability index to optimize an ABB IRB 120 robot’s accuracy for orbital milling—a critical contribution to aerospace and automotive manufacturing where micron-level precision is essential. By systematically validating these methods, his research bridges the gap between theoretical calibration models and real-world industrial implementation. Though early in his career, Makri’s work has already garnered attention for its practical impact, offering a cost-effective, reproducible approach to enhancing robotic accuracy without expensive hardware upgrades. His findings are particularly valuable for researchers and engineers seeking to deploy collaborative robots in high-precision environments. Makri continues to advance the field by integrating sensor-based feedback and kinematic modeling, positioning himself as an emerging authority in robotic metrology and adaptive manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1