Shahrum Shah Abdullah

About

Shahrum Shah Abdullah is a leading researcher in robotics and control systems, with a focus on the optimization and design of autonomous underwater and amphibious vehicles. His work is distinguished by the innovative application of metamodeling and surrogate modeling techniques to solve complex control problems. Notably, he pioneered the use of these methods for the offline optimization of PID controllers for flexible robot manipulators and remotely operated vehicles (ROVs), demonstrating how to dramatically reduce computational time in tuning critical parameters. His research extends to the development of novel robotic platforms, including a spherical amphibian robot with a unique driving principle, designed for exceptional adaptability in scientific and military applications. Abdullah has also contributed to the depth control of unmanned underwater vehicles (UUVs) using Neural Network Predictive Control (NNPC). With key papers accumulating citations across his career, his work on the "Optimization of PID controllers for a flexible robot manipulator" (6 citations) and "Spherical Amphibian Robot Design" (4 citations) highlights his dual impact on both theoretical optimization methods and practical, cutting-edge robotic design.

Research Focus

Key Achievements

Top Papers

1. 1
   Optimization of pid controllers for a flexible robot manipulator using metamodeling approach

   6 citations · 2008
2. 2
   Spherical Amphibian Robot Design with Novel Driving Principle

   4 citations · 2021
3. 3
   Multi-objective optimization of remotely operated vehicle control system using surrogate modeling

   3 citations · 2011
4. 4
   Neural Network Predictive Control (NNPC) of a Deep Submergence Rescue Vehicle (DSRV)

   2 citations · 2012
5. 5
   A Spherical Amphibian Underwater Robot: Preliminary Mechanical Design

   2 citations · 2022

Key Collaborators

Contact & Links