Ahmad Forouzantabar

About

Ahmad Forouzantabar is a leading researcher in the field of robotics, specializing in the control of teleoperation systems. His work focuses on the critical challenges of bilateral control, where a human operator controls a remote robot (slave) while receiving force feedback from the environment. Forouzantabar’s major contributions include pioneering adaptive neural network control for teleoperation systems under constant time delays, a foundational paper that has garnered 40 citations. He has significantly advanced the field by addressing the complexities of flexible-link slave robots, dynamic uncertainties, and actuator faults. His recent research introduces fault-tolerant control mechanisms and nonlinear disturbance observers to ensure system stability and performance even with actuator constraints and varying time delays. With a total of over 90 citations, Forouzantabar’s work is essential for developing robust, safe, and reliable teleoperation systems used in surgery, hazardous material handling, and space exploration. His 2021 paper on nonlinear disturbance observer-based fault-tolerant control is particularly notable for its comprehensive approach to real-world operational challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   Adaptive neural network control of bilateral teleoperation with constant time delay

   40 citations · 2011
2. 2
   Bilateral control of master–slave manipulators with constant time delay

   31 citations · 2011
3. 3
   Fault-Tolerant Control of Teleoperation Systems with Flexible-Link Slave Robot and Disturbance Compensation

   10 citations · 2020
4. 4
   Nonlinear disturbance observer-based fault-tolerant control for flexible teleoperation systems with actuator constraints and varying time delay

   9 citations · 2021
5. 5
   Bilateral control of master-slave manipulators with constant time delay

   3 citations · 2011

Key Collaborators

Contact & Links