Masoud Latifinavid
University of Turkish Aeronautical Association, Middle East Technical University
Papers
4
Total Citations
116
H-Index
4
About
Masoud Latifinavid is a robotics researcher whose work bridges intelligent automation, precision manufacturing, and real-world applications. His primary research areas include autonomous mobile robotics, parallel manipulators, and robotic grinding systems. Latifinavid’s most notable contribution is the development of a vision-based unmanned ground vehicle that uses fuzzy logic for autonomous tennis ball collection—a practical solution that has garnered 35 citations and highlights the growing intersection of robotics and sports. In manufacturing, he has advanced high-performance parallel hexapod robots for light abrasive grinding, introducing real-time tool deflection compensation and constant resultant force control to improve precision and efficiency (33 citations). His kinematic modeling of a 3-DOF parallel stabilizing robot manipulator (32 citations) further demonstrates his expertise in designing systems that actively isolate disturbances for stable operation. By combining experimental and energy-based hybrid models, Latifinavid has provided foundational insights into robotic grinding operations (16 citations). His work is characterized by a clear focus on translating complex robotic theory into deployable, high-impact solutions for both industrial and recreational settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4