Abd Halim Embong
Papers
3
Total Citations
9
H-Index
2
About
Abd Halim Embong is a robotics researcher whose work centers on the modeling, control, and optimization of spherical mobile robots—a class of nonlinear systems that offer unique advantages in maneuverability and resilience over traditional wheeled platforms. His major contributions lie in the application of intelligent control strategies to these challenging rolling mechanisms. Embong pioneered the use of PI-type and PD-type Fuzzy Logic Controllers (FLC) to regulate both the velocity and position of pendulum-driven spherical robots. His 2017 paper on modeling rolling motion using the Lagrange function established a foundational simulation framework, while his 2019 work on optimizing PD-type FLCs directly addressed the difficulty of precise position control in such nonlinear systems. Although his citation counts (ranging from 2 to 4 per paper) reflect a focused, early-stage body of work, his research is technically significant for demonstrating how fuzzy logic can tame the complex dynamics of spherical robots. Embong’s findings provide a practical pathway for deploying these robots in real-world applications, from surveillance to exploration, making his contributions valuable for students and engineers interested in mobile robotics and intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1Velocity Control for Spherical Robot using PI-Fuzzy Logic4 citations · 2019
- 2Modelling and Simulation Analysis of Rolling Motion of Spherical Robot3 citations · 2017
- 3