Mad Helmi

International Islamic University Malaysia

Papers

Total Citations

H-Index

About

Mad Helmi is a robotics researcher whose work focuses on bio-inspired locomotion, particularly the development and analysis of snake robots. His key research areas include serpentine motion modeling, data extraction from biological systems, and the application of these insights to robotic movement. Helmi’s major contribution lies in bridging the gap between biological observation and robotic implementation—most notably through his investigation of snake robot movement scenarios, where he analyzed angular velocity, motion trends, and shape dynamics by implementing serpentine locomotion. By experimenting with real snakes to extract motion and force data, he provided foundational insights that inform the design of more agile and adaptive robotic systems. Though his most-cited paper, “Investigation on Data Extraction Trends for Snake Robot” (2014), has garnered 2 citations, its value lies in its pioneering approach to integrating biological data with robotic control. Helmi’s work is particularly notable for its hands-on methodology and its potential applications in search-and-rescue, exploration, and medical robotics. For students and researchers interested in biomimetics and robotics, Helmi offers a compelling example of how observing nature can drive technological innovation.