Fakhereddine Fares
Papers
1
Total Citations
8
H-Index
1
About
Fakhereddine Fares is a researcher at the forefront of applied robotics, specializing in computer vision, industrial automation, and intelligent manipulation systems. His work bridges the gap between advanced sensing technologies and real-world industrial applications, with a particular focus on robotic guidance and object detection in complex environments. In his most-cited paper, "Lobster detection using an Embedded 2D Vision System with a FANUC industrial robot" (2021, 8 citations), Fares explores two vision-based approaches to enable a FANUC LR Mate 200iD/7L robot arm to accurately locate and manipulate lobsters. This research, conducted at the Robotics, Electronics and Industry 4.0 Laboratory of the Université de Moncton, demonstrates his ability to integrate embedded vision systems with industrial robotics for precise, automated handling tasks. By tackling the challenges of detecting and grasping irregularly shaped objects, Fares contributes to the broader adoption of Industry 4.0 technologies in sectors like food processing and manufacturing. His work not only advances robotic dexterity but also showcases practical solutions for automating complex, non-standard tasks, making him a notable figure in the evolution of smart robotics.
Research Focus
Key Achievements
Top Papers
- 1