About

Samsi Md Said has dedicated his research career to advancing industrial robotics, with a primary focus on autonomous contour tracking—a critical capability for automating manufacturing tasks such as welding, sealing, and painting. His most influential work, "Autonomous contour tracking using staircase method for industrial robot" (2008, 10 citations), introduced a novel staircase algorithm that significantly reduces the tedious manual programming typically required for these applications. Building on this foundation, Said developed and rigorously evaluated multiple autonomous contour following algorithms, including the adapting gradient method, which enables industrial robots to perform self-learning and track contours with minimal human intervention. His contributions extend to hyper-redundant snake robots, where he proposed a clustering four-bit sequence control for serpentine gait, and to flexible modular robotics, designing customizable link joints that reduce cost and redundancy in specific industrial tasks. Through systematic performance evaluations of algorithms on Adept SCARA robots and the development of smart sensor-integrated tools, Said has consistently pushed toward more intelligent, autonomous, and adaptable robotic systems, making industrial automation more efficient and accessible.

Research Focus

Key Achievements

3
H-Index
7
Papers
26
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous contour tracking using staircase method for industrial robot
10 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: TATI University College, Technical University of Malaysia Malacca, University of Kuala Lumpur, Universiti Putra Malaysia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago