Sara Emamzadeh
Papers
6
Total Citations
295
H-Index
6
About
Sara Emamzadeh is a researcher specializing in nonlinear control systems, robotics, and intelligent control methodologies, with a particular focus on robot manipulator control. Her work bridges theoretical control engineering and practical implementation, making significant contributions to the design and application of advanced control techniques for complex robotic systems. Emamzadeh's most influential work, cited nearly 100 times, introduced MATLAB/SIMULINK-based sliding mode control (SMC) implementations for the PUMA-560 robot manipulator, demonstrating how simulation platforms can integrate seamlessly with graduate and undergraduate robotics education. This contribution holds both academic and pedagogical value, equipping students with practical tools for understanding nonlinear control. Her subsequent research on computed torque controllers, fuzzy robust feedback linearization, and parallel fuzzy inference system compensators further expanded the toolkit available for managing the inherent nonlinearities of robotic arms with multiple degrees of freedom. Notably, Emamzadeh extended her expertise to continuum robots, proposing intelligent fuzzy-PID parallel feedback linearization strategies for systems where traditional modeling is limited. Collectively, her publications have amassed over 295 citations, reflecting meaningful influence within the robotics and control engineering communities. Her body of work stands as a valuable resource for researchers and students navigating the challenges of designing robust, intelligent controllers for highly nonlinear robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2Design Baseline Computed Torque Controller60 citations · 2012
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