Muhammad Izhar

Fujian University of Technology

Papers

1

Total Citations

6

H-Index

1

About

Muhammad Izhar is a robotics researcher whose work centers on autonomous navigation and intelligent control systems for small-scale robots. His most-cited contribution, "Shortest Distance Maze Solving Robot" (2020), with 6 citations, introduces a low-cost autonomous robot that integrates wall tracking and flood fill algorithms to navigate mazes without human intervention. This study demonstrates his expertise in embedding sophisticated programming into compact, affordable hardware, enabling robots to complete tasks independently. Izhar’s research bridges algorithm development and practical implementation, offering scalable solutions for autonomous systems in constrained environments. His work has implications for educational robotics, warehouse automation, and search-and-rescue operations, where efficient pathfinding is critical. By prioritizing cost-effectiveness and algorithmic precision, Izhar contributes to making intelligent robotics more accessible. His achievements highlight a commitment to advancing autonomous navigation through innovative algorithm integration, laying groundwork for future developments in self-guided robotic systems.

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 · 13 days ago