Pezhman Kazemi
Papers
2
Total Citations
9
H-Index
2
About
Pezhman Kazemi is a robotics and control systems researcher whose work focuses on the intersection of nonlinear dynamics, sensor-based feedback, and intelligent control. His most cited work, “Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum” (2020, 6 citations), demonstrates his expertise in stabilizing inherently unstable systems by combining classical PID control with fuzzy logic. Using a Lego Mindstorm NXT platform, he transformed a toy into a testbed for advanced control theory, making complex concepts accessible for students and practitioners alike. In a complementary study, “Using The Feedback of Dynamic Active-Pixel Vision Sensor (DAVIS) to Prevent Slip in Real Time” (2020, 3 citations), Kazemi pioneered a novel approach to tactile sensing by repurposing a high-speed event-based camera. Through 200 experiments on four distinct objects, he showed how the DAVIS sensor’s rapid processing can detect slip and contact force in real time—a breakthrough with implications for robotic grasping and prosthetics. Though early in his career, Kazemi’s work bridges theoretical control design with practical sensor integration, offering scalable solutions for autonomous systems. His research is particularly valuable for engineers developing robots that must interact safely and precisely with the physical world.
Research Focus
Key Achievements
Top Papers
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