Papers
206
Total Citations
6,111
H-Index
41
About
Mahdi Tavakoli is a distinguished robotics and human-robot interaction researcher whose work sits at the intersection of surgical robotics, teleoperation, and haptic feedback systems. Based on his extensive publication record, Tavakoli has made foundational contributions to the design and implementation of force-based teleoperation in medical and surgical contexts, with his 2012 work on nonlinear disturbance observers for robotic manipulators accumulating an impressive 466 citations and becoming a cornerstone reference in the field. His research on haptic feedback in minimally invasive and endoscopic surgery — dating back to the mid-2000s — helped establish the critical importance of sensory information in robot-assisted procedures. Tavakoli has also demonstrated remarkable breadth, contributing influential analyses of robotic and AI systems during the COVID-19 pandemic (306 citations), impedance learning in human-robot interaction, needle steering, and large-scale metal additive manufacturing. His 2008 monograph on haptics for teleoperated surgical systems further cemented his authority in the field. With thousands of citations across a diverse but cohesive body of work, Tavakoli represents a leading voice in advancing intelligent, responsive robotic systems for healthcare and beyond.
Research Focus
Key Achievements
Top Papers
- 1Nonlinear disturbance observer design for robotic manipulators466 citations · 2012
- 2
- 3Haptic Feedback and Force-Based Teleoperation in Surgical Robotics181 citations · 2022
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- 6Impedance Variation and Learning Strategies in Human–Robot Interaction111 citations · 2021
- 7
- 8Issues in closed-loop needle steering102 citations · 2017
- 9
- 10Haptics for Teleoperated Surgical Robotic Systems89 citations · 2008