Mohammad-R. Akbarzadeh-T

About

Mohammad-R. Akbarzadeh-T is a pioneering figure in computational intelligence and robotics, whose work bridges soft computing, adaptive control, and human-robot interaction. His research centers on developing intelligent control systems for autonomous and assistive robots, with key contributions in fuzzy control, neural networks, and parallel mechanisms. Notably, his early work on "Soft computing for autonomous robotic systems" (2000, 91 citations) laid foundational principles for integrating fuzzy logic and neural networks into robotic control. He has made significant advances in exoskeleton technology, as seen in his deep learning strategy for EMG-based joint prediction (2022, 69 citations) and adaptive fuzzy impedance control for human intended trajectory estimation (2023, 39 citations). His robust impedance control framework for mobile manipulators (2017, 54 citations) introduced novel time-delay compensation to handle uncertainties and disturbances, while his emotional neural networks (2020, 45 citations) achieved universal approximation for stable adaptive control. Akbarzadeh-T has also contributed extensively to parallel robot analysis, including stiffness and workspace studies (2012, 81 citations; 2013, 48 citations), and pioneered interval-valued fuzzy control for complex dynamical systems (2013, 32 citations). With over 500 total citations across his most impactful works, his research continues to shape the future of intelligent robotic systems and human-assistive technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   Soft computing for autonomous robotic systems

   91 citations · 2000
2. 2
   An investigation on stiffness of a 3-PSP spatial parallel mechanism with flexible moving platform using invariant form

   81 citations · 2012
3. 3
   A deep learning strategy for EMG-based joint position prediction in hip exoskeleton assistive robots

   69 citations · 2022
4. 4
   Robust Impedance Control of Uncertain Mobile Manipulators Using Time-Delay Compensation

   54 citations · 2017
5. 5
   Position, Jacobian and workspace analysis of a 3-PSP spatial parallel manipulator

   48 citations · 2013
6. 6
   Emotional neural networks with universal approximation property for stable direct adaptive nonlinear control systems

   45 citations · 2020
7. 7
   Adaptive fuzzy impedance control of exoskeleton robots with electromyography-based convolutional neural networks for human intended trajectory estimation

   39 citations · 2023
8. 8
   An interval-valued fuzzy controller for complex dynamical systems with application to a 3-PSP parallel robot

   32 citations · 2013
9. 9
   Indirect adaptive robust mixed H2/H∞ general type-2 fuzzy control of uncertain nonlinear systems

   30 citations · 2018
10. 10
    V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers

    25 citations · 2002

Key Collaborators

Contact & Links