Mohd Rusllim Mohamed
Papers
1
Total Citations
5
H-Index
1
About
Mohd Rusllim Mohamed is a robotics researcher specializing in intelligent control systems and robotic grasping technologies. His work focuses on developing adaptive control strategies for robotic manipulators, particularly through the application of fuzzy logic controllers. In his highly cited 2013 paper, "Fuzzy Logic Controller Design for A Robot Grasping System with Different Membership Functions," Mohamed systematically investigated how different membership functions affect object grasping performance in a three-fingered gripper system. Using MATLAB Simulink and SimMechanics toolboxes, he compared three commonly used membership functions to identify their behavioral characteristics in lifting defined object shapes. This foundational work has garnered 5 citations, establishing his expertise in robotic manipulation and control system design. Mohamed's research contributes to advancing autonomous robotic systems capable of handling diverse objects with precision, making his work relevant to industrial automation and assistive robotics. His systematic approach to comparing control strategies provides valuable insights for researchers developing more robust and adaptable robotic grasping systems.
Research Focus
Key Achievements
Top Papers
- 1