Roozbeh Dargahi
Papers
1
Total Citations
2
H-Index
1
About
Roozbeh Dargahi is a researcher whose work bridges the frontiers of robotics, control theory, and game-theoretic modeling. His primary research focuses on applying differential game theory to robotic manipulation, particularly in determining the load-carrying capacity of manipulators under dynamic conditions. In his most cited work, "Determining load carrying capacity of a manipulator by game theory: Closed-loop nonzero-sum differential game approach" (2016), Dargahi introduced a novel framework that models the interaction between a manipulator and its payload as a closed-loop nonzero-sum differential game. This approach allows for more accurate predictions of system stability and performance limits, addressing a critical challenge in industrial robotics and automation. Although his citation count is currently modest—with this paper garnering 2 citations—the work represents a foundational step in integrating game theory with robotic dynamics, offering a fresh perspective for optimizing manipulator design and control. Dargahi’s contributions are particularly valuable for students and researchers exploring advanced control strategies, as they demonstrate how interdisciplinary methods can solve practical engineering problems. His research holds promise for future applications in autonomous systems, where robust load handling is essential.
Research Focus
Key Achievements
Top Papers
- 1