Mohammad Taghi Hamidi Beheshti

About

Mohammad Taghi Hamidi Beheshti is a leading expert in robotics and nonlinear control systems, with a career-long focus on solving the fundamental challenges of redundant manipulators. His pioneering work on adaptive fuzzy logic algorithms for inverse kinematics and obstacle avoidance—foundational papers from 1999 and 2003 that have each earned 14 citations—established efficient, human-inspired solutions to computationally expensive control problems. Beheshti’s contributions extend to robust control theory, where he has developed advanced sliding mode control techniques, including a recent 2024 study on Super-Twisting Fast Finite Time Non-singular Terminal Sliding Mode Control for 3-DOF robotic arms, demonstrating his continued impact on improving stability and convergence in industrial robots. He has also innovated in path planning, formulating the problem as a binary integer programming model using Delaunay triangulation, and in robust regulation of nonlinear systems via singular perturbation and H∞ control. With a body of work that bridges theoretical rigor and practical application, Beheshti remains a key figure in advancing intelligent, adaptive, and robust robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   An optimized adaptive fuzzy inverse kinematics solution for redundant manipulators

   14 citations · 2003
2. 2
   Obstacle avoidance for kinematically redundant robots using an adaptive fuzzy logic algorithm

   14 citations · 1999
3. 3
   Robust trajectory tracking of a 3-DOF robotic arm using a Super-Twisting Fast finite time Non-singular Terminal Sliding Mode Control in the presence of perturbations

   13 citations · 2024
4. 4
   Binary Integer Programming Model of Point Robot Path Planning

   10 citations · 2007
5. 5
   Robust regulation of a class of nonlinear systems using singular perturbation approach

   4 citations · 2003

Key Collaborators

Contact & Links