Papers
1
Total Citations
2
H-Index
1
About
Fareeha is an emerging researcher in robotics and artificial intelligence, with a focused interest in autonomous navigation and embedded systems. Her most-cited work, "An Efficient Autonomous Maze Solving Robot based on Microcontroller by Avoiding Obstacles Using a Decision-Making Algorithm" (2023), demonstrates her contribution to developing cost-effective, self-driving robotic platforms. This paper introduces a microcontroller-based system that employs a decision-making algorithm for real-time obstacle avoidance and maze traversal—a foundational challenge in robotics and AI. While her citation count is currently modest at 2, the work reflects a practical, hands-on approach to solving classical problems in autonomous navigation, bridging theoretical algorithms with tangible hardware implementation. Fareeha’s research aligns with the broader push toward efficient, low-cost autonomous systems, and her paper serves as a valuable resource for students and hobbyists exploring embedded robotics. As she continues to build on this foundation, her work holds promise for applications in search-and-rescue, warehouse automation, and educational robotics.
Research Focus
Key Achievements
Top Papers
- 1