Isfahan University of Technology

🇮🇷 IR

Papers

148

Total Citations

2,410

H-Index

24

Researchers

163

About

Isfahan University of Technology (IUT) has established itself as a dynamic hub for robotics, intelligent control systems, and applied AI research, with a portfolio that spans foundational theory to real-world engineering applications. Located in Isfahan, Iran, IUT's robotics and mechatronics community has made internationally recognized contributions, particularly in advanced manipulation, redundant robot control, and human-robot interaction. Among IUT's most celebrated contributions is its pioneering work on task-space control of redundant robot manipulators, including null-space compliance and impedance control frameworks that address safe physical interaction between robots and humans — research that has garnered nearly 200 citations and influenced subsequent work worldwide. Complementing this, the team has developed dynamic multi-priority control algorithms for redundant systems, posture optimization for robot-assisted machining, and Jacobian-based dexterity indices that have become reference points in industrial robotics. IUT researchers have shown a strong commitment to translating theory into practice. Their work on robotic home-based rehabilitation systems — timely during the COVID-19 pandemic — alongside intelligent impedance control using wavelet neural networks and adaptive force/position control, reflects a clear focus on healthcare and human-centered robotics. The institution also has a track record in underwater ROV development, autonomous soccer robots for RoboCup competitions, and haptic rendering stability analysis, demonstrating impressive breadth. Beyond manipulation robotics, IUT contributes to AI-driven applications including Mars image classification, path planning algorithms, agricultural weed management using AI, and advanced 3D-printed materials for soft robotics. This interdisciplinary reach makes IUT an attractive destination for prospective students and collaborators seeking a research environment where rigorous control theory meets impactful real-world innovation.

Research Focus

Key Achievements

24
H-Index
148
Papers
2,410
Total Citations
163
Faculty & Researchers
🏆 Most Cited Paper
Task-Space Control of Robot Manipulators With Null-Space Compliance
187 citations · 2014
📊 Avg Citations/Paper: 16
📈 Most Prolific Year: 2010 (13)
🔬 Research Focus: Computer science, Artificial intelligence, Engineering, Robot, Control theory (sociology), Control (management)

Top Papers

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Faculty & Researchers

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