Akram Muhammad Shoaib
Papers
1
Total Citations
6
H-Index
1
About
Akram Muhammad Shoaib is a robotics researcher whose work centers on autonomous navigation, embedded systems, and intelligent control mechanisms for small-scale robots. His most influential contribution, the 2020 study "Shortest Distance Maze Solving Robot," has garnered 6 citations and exemplifies his focus on developing low-cost, self-sufficient robotic platforms. In this work, Shoaib integrated wall-tracking and flood-fill algorithms into compact hardware, enabling a robot to autonomously navigate and solve mazes without human intervention. This achievement highlights his skill in bridging algorithm design with practical, real-world deployment—a key challenge in autonomous systems. Beyond this flagship paper, Shoaib’s research explores the intersection of software programming and hardware execution, pushing the boundaries of what small intelligent robots can accomplish. His work is particularly notable for its emphasis on affordability and accessibility, making advanced robotics concepts more attainable for educational and prototyping contexts. For students and researchers interested in autonomous navigation, embedded intelligence, or low-cost robotics, Shoaib’s contributions offer a clear demonstration of how algorithmic efficiency can drive tangible, self-directed robotic behavior.
Research Focus
Key Achievements
Top Papers
- 1Shortest Distance Maze Solving Robot6 citations · 2020