Saeed Ansari-Rad
Papers
5
Total Citations
107
H-Index
5
About
Saeed Ansari-Rad is a robotics and control systems researcher whose work centers on the dynamics, identification, and advanced control of parallel robot systems. His research has made notable contributions to both the theoretical and practical challenges of controlling parallel mechanisms — particularly Delta and spherical parallel robots — which are widely used in industrial automation, construction, and precision positioning applications. Among his most impactful contributions is his work on the 3-DOF Delta parallel robot, where he developed methods for offline–online tuning and identification of base inertia parameters under insufficient excitation conditions, garnering 39 citations. Complementing this, his back-stepping control framework with smart dynamic model selection for construction applications has attracted 31 citations, demonstrating real-world relevance. A recurring theme across his portfolio is robust adaptive control under uncertainty and limited excitation, explored across both two-DOF and three-DOF spherical parallel robots. His early work on camera stabilization using a gyro-sensor-equipped parallel robot highlights his interest in practical, sensor-integrated robotic systems. With over 100 cumulative citations, Ansari-Rad's research offers valuable insights for engineers and students working on parallel robot modeling, parameter identification, and adaptive control design in challenging real-world environments.
Research Focus
Key Achievements
Top Papers
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