Papers
86
Total Citations
2,505
H-Index
27
About
Farrokh Janabi-Sharifi is a prominent robotics and control systems researcher whose work spans visual servoing, medical robotics, continuum robot modeling, and autonomous systems. Based at Ryerson (now Toronto Metropolitan) University, he has made foundational contributions to robot perception and control that have shaped the field over two decades. His highly cited 2010 studies on visual servoing methods (188 citations) and Kalman-filter-based pose estimation (184 citations) established robust frameworks for vision-guided robot control, addressing critical challenges in stability, robustness, and real-time performance. His 2012 work on robot programming by demonstration using Hidden Markov Models and Dynamic Time Warping (158 citations) advanced intuitive human-robot interaction paradigms. Janabi-Sharifi has also made significant inroads into medical robotics, developing catheter kinematics models and robot-assisted navigation tools for minimally invasive cardiac procedures. His more recent contributions include tutorials on Cosserat rod-based continuum robot dynamics (88 citations) and UAV state estimation using unscented Kalman filters (96 citations), demonstrating sustained innovation across emerging domains. With over 1,000 citations across his top works alone, his research continues to influence both theoretical foundations and practical applications in intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Comparison of Basic Visual Servoing Methods188 citations · 2010
- 2A Kalman-Filter-Based Method for Pose Estimation in Visual Servoing184 citations · 2010
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- 4Hybrid Motion Control and Planning Strategies for Visual Servoing109 citations · 2005
- 5A Brief Review on Robotic Grippers Classifications105 citations · 2019
- 6Catheter Kinematics for Intracardiac Navigation101 citations · 2009
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- 9Robot-assisted catheter manipulation for intracardiac navigation76 citations · 2009
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