Papers
20
Total Citations
380
H-Index
9
About
Iraj Hassanzadeh is a prominent researcher whose work spans robotics, control systems, and intelligent automation, with particular expertise in teleoperation, adaptive control, and bio-inspired optimization. His research has made substantial contributions to how robotic systems are controlled in complex, real-world environments, accumulating over 330 citations across his most recognized publications. Hassanzadeh's foundational work in teleoperation is especially noteworthy. His studies on shared impedance control for Internet-based mobile robot teleoperation — explored as early as 2005 and expanded experimentally in 2010 — laid critical groundwork for human-robot interaction under network-induced constraints. His 2013 paper addressing teleoperation with varying time delays and actuator nonlinearities garnered 66 citations, reflecting its significance to the field. Equally impactful is his neural network-based model predictive control for shape memory alloy manipulators, which earned 95 citations and demonstrated innovative approaches to controlling unconventional smart-material actuators. Beyond teleoperation, Hassanzadeh has advanced mobile robot path planning through evolutionary and fuzzy logic approaches, and contributed to flexible-joint robot control through adaptive methods and Kalman filtering techniques. His body of work reflects a researcher deeply committed to bridging theoretical control frameworks with practical robotic implementation, making his contributions valuable to both engineers and academics exploring autonomous and semi-autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 6Path planning for a mobile robot using fuzzy logic controller tuned by GA24 citations · 2009
- 7Model following adaptive control for a robot with flexible joints14 citations · 2008
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