Mohammad Hasan Shaheed

About

Dr. Mohammad Hasan Shaheed is a leading researcher in robotics, specializing in the modeling, control, and optimization of complex robotic manipulator systems. His work bridges intelligent algorithms and real-world robotic applications, with a particular focus on master-slave and leader-follower configurations. Dr. Shaheed’s most significant contributions include the development of a hybrid Grey Wolf–Whale Optimization Algorithm (GWO-WOA) for dynamic characterization, which has garnered 33 citations, and a grey-box modeling approach combined with fuzzy logic control for trajectory control of leader-follower robots, cited 26 times. These innovations address critical challenges in nonlinear system identification and real-time control. His earlier work on the Barrett Hand for grasping and multifingered hand interactional control has also been influential, with 15 and 5 citations respectively, tackling uncertainties in object manipulation. Dr. Shaheed’s research has advanced the field by providing robust, optimization-driven solutions for robotic systems, making him a notable figure in intelligent robotics and control engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Dynamic characterization of a master–slave robotic manipulator using a hybrid grey wolf–whale optimization algorithm

   33 citations · 2021
2. 2
   Grey-box modelling and fuzzy logic control of a Leader–Follower robot manipulator system: A hybrid Grey Wolf–Whale Optimisation approach

   26 citations · 2022
3. 3
   Modelling and Control of the Barrett Hand for Grasping

   15 citations · 2013
4. 4
   A Modified Computed Torque Control Approach for a Master-Slave Robot Manipulator System

   9 citations · 2018
5. 5
   A Virtual Environment for Studying Flexible Robot Manipulators

   6 citations · 2009
6. 6
   Modeling and interactional control of the multifingered hand

   5 citations · 2013

Key Collaborators

Contact & Links