Najmuddin Aamer

International Institute of Information Technology Bangalore, Vinayaka Missions University

Papers

Total Citations

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About

Najmuddin Aamer’s research lies at the intersection of neural networks, hardware design, and autonomous robotics, with a focus on creating efficient, real-time navigation systems. His major contributions center on developing novel algorithms and hardware architectures that enable mobile robots to perform path planning and obstacle avoidance in complex, dynamic environments. Notably, his work explores the realization of neural network-based controllers on Field-Programmable Gate Arrays (FPGAs), offering an alternative hardware solution that balances speed, power, and robustness—a critical step toward practical, embedded robotic systems. His most-cited paper, “Hardware realization of neural network based controller for autonomous robot navigation” (2017), has garnered 5 citations, reflecting its relevance in bridging soft computing and VLSI design. Despite a retracted paper, his cumulative work, including a 2015 algorithm for autonomous navigation, demonstrates sustained engagement with foundational challenges in robotics. Aamer’s research is particularly valuable for students and engineers seeking to understand how neural networks can be translated from software simulations into deployable hardware, making autonomous robots more responsive and reliable in real-world applications.