Anas Fouad Ahmed
Papers
4
Total Citations
15
H-Index
3
About
Anas Fouad Ahmed is a robotics researcher focused on assistive and surveillance technologies, with key contributions in 3D modeling, computer vision, and microcontroller-based systems. His most cited work, "Comparison of Camera and Laser Scanner based 3D Point Cloud" (2019, 5 citations), addresses the critical challenge of 3D object modeling for quality assurance and interior mapping, a cornerstone for modern robotics applications. Ahmed also developed a "Design And Implementation Surveillance Robot Using ATmega328 Microcontroller" (2018, 4 citations), showcasing his expertise in low-cost, practical robotic solutions for security. His "Assistive mobile robot for industrial and academic applications" (2020, 3 citations) highlights his commitment to deploying robots for routine human tasks, particularly in developing societies where such technology can bridge gaps in education and commerce. Notably, Ahmed’s "Smart Goal Keeper Prototype using Computer Vision and Raspberry Pi" (2020, 3 citations) demonstrates an innovative blend of computer vision and servo motor control for sports training, illustrating his ability to create engaging, real-world applications. With a cumulative citation count of 15 across these works, Ahmed’s research is steadily gaining recognition for its practical impact, bridging the gap between academic theory and tangible robotic solutions.
Research Focus
Key Achievements
Top Papers
- 1Comparison of Camera and Laser Scanner based 3D Point Cloud5 citations · 2019
- 2
- 3Assistive mobile robot for industrial and academic applications3 citations · 2020
- 4Smart Goal Keeper Prototype using Computer Vision and Raspberry Pi3 citations · 2020