Mohd Idris Shah Ismail
Papers
4
Total Citations
32
H-Index
2
About
Mohd Idris Shah Ismail is a rising force in the field of robotics and advanced manufacturing, specializing in the intersection of bio-inspired optimization algorithms, robotic manipulator control, and precision forming processes. His work is characterized by a novel integration of nature-inspired metaheuristics—such as the Black-winged Kite Algorithm and the Dung Beetle Optimizer—with classical engineering methods like Finite Element Analysis (FEA) and the Taguchi Method. This unique approach allows him to tackle complex, multi-objective problems in robotics, from optimizing the structural design of parallel grippers to planning smooth, collision-free trajectories for six-degree-of-freedom manipulators. His most cited paper (14 citations) demonstrates a comprehensive framework for robot gripper design, while his work on Single Point Incremental Forming (SPIF) addresses the critical industry need for rapid, personalized sheet metal prototyping. Although early in his career, Ismail’s research is already showing tangible impact, with his 2024 papers on trajectory planning and inverse kinematics signaling a clear trajectory toward solving fundamental challenges in robotic autonomy and efficiency. His work is essential reading for anyone interested in the practical application of swarm intelligence to real-world robotic systems.
Research Focus
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Top Papers
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