Mojtaba Sharifi
Papers
7
Total Citations
251
H-Index
6
About
Mojtaba Sharifi is a robotics and control systems researcher whose work centers on adaptive impedance control, human–robot interaction, and rehabilitation robotics. His most significant contributions lie in developing nonlinear model reference adaptive impedance controllers — sophisticated frameworks that allow robotic systems to dynamically adjust their mechanical behavior in response to uncertain environments and human contact. His 2014 landmark paper on nonlinear model reference adaptive impedance control for human–robot interactions has garnered 115 citations, establishing him as a notable voice in this specialized field. Sharifi's research spans an impressive breadth of applications. He extended adaptive impedance control principles to Cartesian coordinates for rehabilitation robotics, to UAVs equipped with robotic manipulators interacting physically with their environments, and to bilateral teleoperation systems with direct implications for telesurgery and telerehabilitation. His work on teleoperation systems demonstrates particular ingenuity, replacing conventional position and force tracking with impedance-based control for multi-DOF systems. More recently, he contributed to rehabilitation hardware design, proposing a novel 4-DOF upper-limb rehabilitation robot targeting wrist and finger recovery. Collectively, his publications reflect a researcher deeply committed to bridging advanced control theory with real-world clinical and aerospace applications, making robotic assistance safer and more adaptive for human interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7