Hafiz Muhammad Atiq
Papers
1
Total Citations
22
H-Index
1
About
Hafiz Muhammad Atiq is a researcher whose work lies at the intersection of embedded systems, neural networks, and autonomous navigation. His most cited contribution, "Microcontroller Based Neural Network Controlled Low Cost Autonomous Vehicle" (2010, 22 citations), presents a pioneering approach to affordable robotics. In this work, Atiq designed a vehicle that uses a neural network for real-time navigation in unknown environments, integrating four ultrasonic sensors for obstacle detection, a wheel encoder for distance measurement, and a compass for directional awareness—all controlled by a microcontroller. This research demonstrated that intelligent autonomous systems could be built without expensive hardware, making robotics more accessible for education and developing-world applications. Atiq's contribution is notable for its practical, low-cost implementation of neural network control, bridging the gap between theoretical AI and real-world engineering. His work continues to inspire students and researchers interested in embedded AI, sensor fusion, and cost-effective autonomous systems, proving that impactful innovation does not always require high-end resources.
Research Focus
Key Achievements
Top Papers
- 1Microcontroller Based Neural Network Controlled Low Cost Autonomous Vehicle22 citations · 2010