Papers
10
Total Citations
111
H-Index
7
About
Mohsen Bahrami is a leading researcher in robotics and control systems, with a primary focus on adaptive and optimal control for complex robotic platforms. His work spans surgical robotics, mobile manipulators, and humanoid robots, where he addresses critical challenges in stability, transparency, and trajectory tracking under uncertainty. Bahrami’s most cited paper, “Adaptive Control of a Robot-Assisted Tele-Surgery in Interaction With Hybrid Tissues” (2018, 20 citations), pioneers control strategies for haptic teleoperation systems interacting with unknown biological tissues, directly advancing robot-assisted surgery. He has also made significant contributions to wheeled mobile robots, developing hybrid control approaches that combine optimal and robust methods to handle matched uncertainties, as seen in his 2020 works (each with 17 citations). His research extends to aerial robots, with early work on optimal control for UAV maneuvers (2008, 13 citations), and to humanoid robotics, where he explored vision-based gesture imitation (2014, 11 citations). Bahrami’s notable achievements include leading the AUT-UofM Humanoid TeenSize Joint Team, contributing to the 2050 Humanoid League roadmap. With over 100 total citations, his work consistently bridges theoretical control innovations with practical robotic applications, making him a key figure in advancing autonomous and interactive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Optimal control of an Aerial Robot13 citations · 2008
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