Amir Rikhtehgar Ghiasi
Papers
6
Total Citations
56
H-Index
4
About
Amir Rikhtehgar Ghiasi is a researcher specializing in the control and navigation of robotic systems, with a particular focus on teleoperation, autonomous navigation, and fault-tolerant control. His most impactful work addresses the stability and performance of bilateral teleoperation systems under challenging real-world conditions, such as varying time delays, bounded inputs, and stochastic sampling with data dropout. His 2017 paper on dual-user nonlinear teleoperation has garnered 20 citations, while his subsequent studies on discrete teleoperation stability (14 citations) and exponential stability using multirate approaches (10 citations) have further solidified his reputation in this domain. Beyond teleoperation, Ghiasi has contributed to autonomous robotics through a 2016 paper on a 3D inertial SLAM algorithm for UAVs (6 citations), addressing a core challenge in robot navigation. More recently, he has explored multi-agent reinforcement learning for solving inverse kinematic problems in redundant manipulators (2022) and developed fault-tolerant control strategies using virtual actuators for flexible robot links with hysteresis (2021). His work bridges theoretical control analysis with practical robotic applications, making him a notable figure in advancing reliable and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 43D inertial algorithm of SLAM for using on UAV6 citations · 2016
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