Mohammad Ghanatian
Papers
2
Total Citations
12
H-Index
2
About
Mohammad Ghanatian is a robotics researcher whose work focuses on the dynamic control and practical deployment of cable-driven parallel robots (CDPRs). His primary research areas include the stabilization of under-constrained suspended robots, path planning optimization, and the application of autonomous systems for real-time video capture. Ghanatian’s major contribution lies in developing control strategies that reduce oscillations in cable-suspended robots, enabling them to perform smooth, precise movements for dynamic environments like football games. His 2023 paper, which has garnered 9 citations, demonstrates the first experimental validation of an autonomous CDPR system capable of tracking live sports and generating game statistics—a significant step toward practical, non-intrusive broadcasting solutions. In earlier work (2021, 3 citations), he employed Simulated Annealing to optimize a PID controller, effectively smoothing robot trajectories for video-capturing purposes. By bridging theoretical control methods with real-world sporting applications, Ghanatian’s research offers a compelling alternative to traditional camera systems, showcasing how cable robots can achieve both agility and stability. His work is particularly notable for its emphasis on experimental validation, providing a blueprint for future autonomous cinematography systems.
Research Focus
Key Achievements
Top Papers
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