AH Mohd Aman
Papers
1
Total Citations
2
H-Index
1
About
Dr. A.H. Mohd Aman is a researcher at the forefront of intelligent automation and cyber-physical systems, with a primary focus on integrating Internet of Things (IoT) technologies with robotic manipulation. His most cited work, "Development of Vision Based Smart Gripper for Material Handling Using Internet of Things" (2022), addresses a critical challenge in industrial automation: enabling robotic grippers to perceive and adapt to their environment in real time. By combining computer vision with IoT connectivity, Dr. Aman’s research advances the capability of smart grippers to autonomously identify, classify, and handle diverse materials—a key step toward flexible, Industry 4.0-compliant manufacturing. Though his citation count is still growing, this foundational paper has already garnered attention for its practical, systems-level approach to bridging sensor data and mechanical action. Dr. Aman’s contributions lie in demonstrating how low-cost, vision-enabled IoT frameworks can be deployed for material handling tasks, reducing reliance on pre-programmed routines. His work is particularly relevant for students and researchers exploring edge computing, robotic perception, and the convergence of IoT with industrial robotics, offering a blueprint for scalable, intelligent automation solutions.
Research Focus
Key Achievements
Top Papers
- 1