Aliakbar Mohammadi
Papers
2
Total Citations
10
H-Index
2
About
Aliakbar Mohammadi is a robotics researcher whose work focuses on the critical intersection of force estimation, disturbance rejection, and control in complex robotic systems. His research addresses fundamental challenges in making robots more robust and reliable when interacting with uncertain environments. His most cited paper, "A robust force observer for robot manipulators subjected to external disturbance" (2015, 8 citations), introduces a novel neural network-based nonlinear disturbance observer that isolates external disturbances from force estimation—a significant advancement over conventional force observers that struggle in real-world, noisy conditions. This work has clear implications for improving the safety and precision of physical human-robot interaction. In his subsequent work, "Impedance control of non-passive bilateral teleoperation systems with uncertain dynamics" (2016, 2 citations), Mohammadi tackles the difficult problem of synchronizing teleoperation systems when both the human operator and the environment are non-passive and uncertain. By moving beyond traditional linear impedance models, his approach offers a more realistic and robust framework for bilateral teleoperation. Though his citation counts are modest, Mohammadi’s contributions are technically rigorous and address persistent, high-impact problems in force-sensitive robotics and teleoperation.
Research Focus
Key Achievements
Top Papers
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- 2