Papers
7
Total Citations
89
H-Index
4
About
Zuwairie Ibrahim is a leading figure in robotics and swarm intelligence, whose work bridges optimization theory and real-world robotic control. His research focuses on three core areas: route optimization for manufacturing robots, system identification and control of unstable dynamic systems like the Two-Wheel Inverted Pendulum (TWIP) robot, and the development of advanced swarm intelligence algorithms for multi-robot coordination. His most influential contribution is a particle swarm optimization (PSO) approach to robotic drill route planning, which minimizes operational time by optimizing the drill bit’s travel path—a practical solution with 36 citations that directly reduces manufacturing costs. He has also made significant strides in closed-loop system identification for TWIP robots (19 citations), enabling stable control of these inherently nonlinear systems. Ibrahim pioneered asynchronous PSO for swarm robotics (14 citations), allowing real-time, decentralized updates that improve efficiency over traditional synchronous methods. His work on single-input fuzzy logic controllers for flexible joint manipulators (13 citations) simplifies complex control tasks. With over 89 total citations across his top papers, Ibrahim’s research has tangible impact in industrial automation, mobile robotics, and adaptive control, making him a key figure in advancing intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Particle Swarm Optimization Approach to Robotic Drill Route Optimization36 citations · 2010
- 2
- 3Asynchronous Particle Swarm Optimization for Swarm Robotics14 citations · 2012
- 4Single Input Fuzzy Logic Controller for Flexible Joint Manipulator13 citations · 2016
- 5
- 6Q-parameterization Control for a Class of DC Motor2 citations · 2012
- 7