Mehrdad R. Kermani
London Health Sciences Centre, Western University, Lawson Health Research Institute
Papers
43
Total Citations
831
H-Index
15
About
Mehrdad R. Kermani is a robotics researcher whose work sits at the critical intersection of safe human-robot interaction, advanced actuation systems, and intelligent control. He has made pioneering contributions to the development of magneto-rheological (MR) fluid-based actuators, establishing their feasibility and practical viability for human-friendly robotic manipulation — work that has garnered over 127 citations in its most influential form. His research systematically advanced MR clutch technology from theoretical investigation through prototype design to adaptive control strategies capable of compensating for the complex magnetic hysteresis inherent in these systems. Alongside this hardware-focused thread, Kermani has produced widely recognized work on friction identification and compensation in robotic joints, with key papers accumulating over 112 and 27 citations respectively. His broader contributions extend to sensorless collision detection, artificial intelligence-driven human motion prediction for reactive robot control, and novel hand-eye calibration formulations — demonstrating impressive breadth across both perception and control. His design of a single-motor, two-degree-of-freedom safe manipulator exemplifies his ability to translate theoretical insights into practical robotic architectures, making his body of work essential reading for researchers advancing the next generation of collaborative robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Friction Identification and Compensation in Robotic Manipulators112 citations · 2007
- 3
- 4Applications of Artificial Intelligence in Safe Human–Robot Interactions47 citations · 2010
- 5Design and Development of a Single-Motor, Two-DOF, Safe Manipulator42 citations · 2013
- 6
- 7Adaptive Control of a Hysteretic Magnetorheological Robot Actuator29 citations · 2016
- 8Friction compensation in low and high-reversal-velocity manipulators27 citations · 2004
- 9A New Formulation for Hand–Eye Calibrations as Point-Set Matching27 citations · 2020
- 10