Muhammad Fasha Aqillah
Papers
1
Total Citations
3
H-Index
1
About
Muhammad Fasha Aqillah is a researcher focused on robotics and automation, with a particular emphasis on vision-based navigation systems for industrial applications. His work centers on developing cost-effective, sensor-driven solutions for Automated Guided Vehicles (AGVs), which are critical for modern logistics and manufacturing. His most cited paper, "Prototype of Robot Movement Navigation System Using Pixy Camera (CMUCAM 5)" (2022), demonstrates how visual sensors like the Pixy camera can enable AGVs to autonomously follow paths and deliver goods, reducing reliance on expensive infrastructure. This contribution addresses a key challenge in industrial automation: creating accessible, scalable navigation technologies. While his citation count is currently modest (3 citations), his research represents an early but promising step toward integrating affordable computer vision into robotics. Aqillah’s work is particularly relevant for students and engineers exploring low-cost automation solutions, as it bridges the gap between theoretical robotics and practical, real-world deployment in sectors like warehousing and manufacturing.
Research Focus
Key Achievements
Top Papers
- 1