Moein Nikpour
Papers
1
Total Citations
23
H-Index
1
About
Moein Nikpour is a researcher specializing in teleoperation systems, control theory, and human-robot interaction, with a focus on addressing the challenges of time-varying delays in remote operation. His most-cited work, "Adaptive online prediction of operator position in teleoperation with unknown time-varying delay: simulation and experiments" (2020, 23 citations), introduces a novel adaptive algorithm that predicts operator movements in real-time, compensating for unpredictable communication lags. This contribution is critical for enhancing the stability and transparency of teleoperated systems, particularly in applications like telesurgery, space exploration, and underwater robotics, where delays can compromise performance. By combining simulation and experimental validation, Nikpour demonstrates the practical viability of his approach, bridging the gap between theoretical control methods and real-world deployment. His work has garnered attention for its innovative use of online learning to adapt to dynamic delay profiles, offering a robust solution without requiring prior knowledge of delay characteristics. Nikpour’s research not only advances the field of teleoperation but also provides a foundation for safer and more efficient human-robot collaboration in uncertain environments, making him a notable contributor to modern robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1