Asma Abu-Samah
Papers
1
Total Citations
7
H-Index
1
About
Asma Abu-Samah is a researcher whose work sits at the intersection of robotics, sensor technology, and industrial automation. Her most cited paper, "Development of Colour Sorting Robotic Arm Using TCS3200 Sensor" (2021, 7 citations), addresses a critical bottleneck in manufacturing: the inefficiency of manual sorting. By integrating a TCS3200 colour sensor with a robotic arm, she demonstrated a low-cost, high-accuracy system capable of replacing human labour in repetitive sorting tasks. This contribution is particularly significant for small-to-medium industries seeking to automate without prohibitive investment. Abu-Samah’s research highlights how accessible sensor technologies can be leveraged to improve productivity and reduce human error in real-world production lines. Her work bridges the gap between theoretical robotics and practical, deployable solutions—a hallmark of impactful engineering research. As automation continues to reshape global manufacturing, Abu-Samah’s focus on affordable, sensor-driven robotic systems positions her as a contributor to the democratization of industrial robotics, making automation more attainable for a wider range of industries.
Research Focus
Key Achievements
Top Papers
- 1Development of Colour Sorting Robotic Arm Using TCS3200 Sensor7 citations · 2021