Mohsen Ghribi
Papers
9
Total Citations
59
H-Index
5
About
Mohsen Ghribi is a robotics and automation researcher whose work spans industrial robotics, computer vision, mobile mapping, and intelligent systems. Based at the Université de Moncton's Robotics, Electronics and Industry 4.0 Laboratory, his research focuses on advancing the precision, autonomy, and intelligence of robotic systems in real-world industrial contexts. Among his most influential contributions is his development of a Tool Center Point calibration method for six-degree-of-freedom industrial robots using sphere fitting, which has garnered 16 citations and addresses a fundamental challenge in robot accuracy. He has also made notable strides in vision-guided robotics, applying 2D vision systems and deep learning models like YOLOv7 to guide robotic arms in specialized tasks, including the automated processing of American lobsters — a commercially vital industry on Canada's Atlantic coast. His work in direct georeferencing and SLAM-based 3D point cloud mapping further demonstrates his breadth across autonomous navigation and spatial data collection. More recently, Ghribi has pioneered the integration of large language models into voice-controlled robotic systems, reflecting a forward-looking approach to human-robot interaction. Across approximately 59 cumulative citations, his research consistently bridges academic innovation with tangible industrial application.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Smart Assistant Robot for Smart Home Management8 citations · 2020
- 4
- 5Omnidirectional Platform for Autonomous Mobile Industrial Robot5 citations · 2021
- 6
- 7Detection and Location of Sheet Metal Parts for Industrial Robots4 citations · 2021
- 8
- 9Location and Vision Techniques to Control a KUKA KR6 R900 Sixx Robot Arm2 citations · 2020