Indian Institute of Technology Roorkee
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Papers
208
Total Citations
4,001
H-Index
30
Researchers
195
About
Indian Institute of Technology Roorkee (IIT Roorkee) stands as one of India's premier technical institutions, distinguished by its rigorous research culture and deep expertise at the intersection of robotics, intelligent control systems, and artificial intelligence. The institution has cultivated a particularly strong identity in advanced robot manipulator control, continuum and bionic robotics, intelligent computing, and computer vision — areas where its faculty and students have consistently produced work of global significance. IIT Roorkee's contributions to robot control theory are especially noteworthy. Researchers here have pioneered intelligent approaches to inverse kinematics, hybrid force/position control, and adaptive neural controllers for multi-robot systems, accumulating hundreds of citations that reflect widespread adoption of their methodologies by the global robotics community. Their work on interval type-2 fuzzy and fractional-order PID controllers for robotic manipulators has become foundational reading for researchers designing robust, adaptive control systems. The institution has also made meaningful inroads into continuum and bionic manipulator modeling, including kinematic calibration and Pythagorean hodograph curve-based representations that push the boundaries of soft robotics. Beyond classical robotics, IIT Roorkee has demonstrated impressive breadth through deep learning research in facial expression recognition — cited over 300 times — and pioneering survey work in underwater image classification, reflecting an expanding commitment to marine robotics and human-robot interaction. Work integrating blockchain with unmanned underwater drones signals the institution's forward-looking engagement with emerging autonomous systems. With research spanning swarm intelligence, meta-heuristic optimization, solar forecasting, and space robotics, IIT Roorkee offers prospective students and collaborators a vibrant, multidisciplinary ecosystem where foundational engineering excellence meets cutting-edge AI innovation.
Research Focus
Key Achievements
Top Papers
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- 3A Survey of Deep Learning Techniques for Underwater Image Classification123 citations · 2022
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- 5Solar radiation forecasting with multiple parameters neural networks118 citations · 2015
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- 9Neural network based hybrid force/position control for robot manipulators93 citations · 2011
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Faculty & Researchers
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