Shahid Mehmood
Papers
1
Total Citations
2
H-Index
1
About
Shahid Mehmood is an emerging researcher in robotics and artificial intelligence, with a focused interest in autonomous navigation and embedded systems. His most-cited work, "An Efficient Autonomous Maze Solving Robot based on Microcontroller by Avoiding Obstacles Using a Decision-Making Algorithm" (2023), demonstrates his contribution to developing cost-effective, microcontroller-based solutions for real-time path planning and obstacle avoidance. By integrating decision-making algorithms into compact hardware, Mehmood addresses foundational challenges in creating self-driving robots that can operate independently in constrained environments. Although his citation count is currently modest—with this paper garnering two citations—his work reflects a practical, hands-on approach to robotics that bridges theoretical AI concepts with tangible, low-cost implementations. This research aligns with the broader goal of streamlining autonomous systems for applications ranging from industrial automation to educational robotics. As the demand for efficient, scalable robotic solutions grows, Mehmood’s contributions offer a stepping stone for future innovations in intelligent navigation, particularly in resource-limited settings where simplicity and reliability are paramount.
Research Focus
Key Achievements
Top Papers
- 1