Amir Farhad Ehyaei
Papers
2
Total Citations
6
H-Index
2
About
Amir Farhad Ehyaei is a robotics researcher specializing in advanced control systems for legged and cooperative mobile robots. His work focuses on developing robust, constraint-aware controllers that enable complex robotic locomotion and manipulation in challenging environments. Ehyaei’s major contributions include the design of a double hyperbolic sliding mode controller with anti-windup capabilities for three-legged robots under actuator torque constraints, addressing the nonlinear and hybrid dynamics inherent in legged locomotion. He has also pioneered a constrained model predictive controller for two cooperative tripod mobile robots, enabling them to collaboratively transport objects along predefined trajectories despite external disturbances. Though early in his career, his research has already garnered attention, with his most-cited paper receiving 4 citations. Ehyaei’s work is notable for its practical focus on real-world constraints—such as torque limits and external disturbances—bridging theoretical control design with tangible robotic applications. His achievements demonstrate a promising trajectory in advancing autonomous multi-robot systems and legged robotics, offering valuable insights for students and researchers interested in nonlinear control, cooperative robotics, and motion planning under physical limitations.
Research Focus
Key Achievements
Top Papers
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