Shafi Ullah

Fujian University of Technology

Papers

1

Total Citations

6

H-Index

1

About

Shafi Ullah is a robotics researcher whose work centers on autonomous navigation and intelligent control systems for small-scale robots. His most-cited study, "Shortest Distance Maze Solving Robot" (2020), with 6 citations, introduces a low-cost, self-contained robot that operates without human intervention by integrating wall-tracking and flood-fill algorithms. This contribution demonstrates his focus on developing efficient, algorithm-driven solutions for pathfinding and real-time decision-making in constrained environments. Ullah’s research bridges hardware and software, emphasizing practical, accessible designs that can be replicated for educational and prototyping purposes. His work highlights the potential of combining classical algorithms with embedded systems to achieve autonomous behavior, offering a foundation for further exploration in robotics and artificial intelligence. While his citation count reflects a growing impact, his approach to cost-effective, intelligent automation positions him as a contributor to the broader field of autonomous systems, inspiring students and researchers interested in hands-on robotics and algorithmic problem-solving.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Shortest Distance Maze Solving Robot
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Fujian University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago