Max Robotics — Global Service Robot Directory + US Certification

About

Hassan Zarabadipour is an Iranian control systems researcher whose work spans robotics, chaos theory, and intelligent control methodologies. His primary contributions lie in the modeling and control of robotic systems, with particular focus on articulated manipulators and nonholonomic mobile robots. His most recognized work, "Modeling, Simulation and Position Control of 3DOF Articulated Manipulator" (2014), has garnered 24 citations and demonstrates his expertise in deriving kinematics and dynamics equations using the Lagrange method to achieve precise position control of robotic systems. A distinctive thread running through Zarabadipour's research is his innovative application of anti-control of chaos — deliberately inducing chaotic behavior in non-chaotic systems — to practical engineering problems. He has applied this unconventional framework to energy reduction in mobile robots, fault-tolerant control of inverted pendulums using fuzzy backstepping design, and handling parametric uncertainty in nonholonomic systems. His 2019 work further integrates hybrid neural network approaches with anti-chaos control strategies, reflecting an evolution toward intelligent, adaptive controllers. With approximately 37 total citations across his published works, Zarabadipour represents a niche but creative voice in control engineering, offering students an example of how chaos theory concepts can be reimagined as practical design tools in robotics and automation.