Mohammadrasoul Kankashvar
Papers
2
Total Citations
14
H-Index
2
About
Mohammadrasoul Kankashvar is a researcher specializing in robotics, nonlinear control systems, and optimization algorithms. His work focuses on the design and control of complex robotic manipulators, particularly five-bar linkage systems, which exhibit highly nonlinear and coupled dynamics. In his most cited paper (11 citations), Kankashvar introduced a modified Biogeography-Based Optimization (BBO) algorithm to tune PID controllers for a five-bar linkage robot, significantly improving performance over the basic BBO method. This work addresses a critical challenge in robotics: achieving precise motion control in systems with nonlinear coupling effects. He further advanced the field by proposing a multivariable controller based on feedback linearization, which fully decouples and linearizes the nonlinear dynamics of the same manipulator—a notable achievement for simplifying control design. While his citation counts are modest, Kankashvar’s contributions are foundational for researchers tackling nonlinear robot control, offering practical optimization and linearization techniques. His work demonstrates a clear progression from algorithm development to controller implementation, making it valuable for students and engineers exploring advanced robotics and bio-inspired optimization methods.
Research Focus
Key Achievements
Top Papers
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