F. Sargeni

Papers

Total Citations

H-Index

About

F. Sargeni is a researcher whose work sits at the intersection of hardware design, neural networks, and autonomous robotics. His primary research focus is the development of dedicated analogue hardware systems for real-time stereo vision, specifically leveraging Cellular Neural Networks (CNNs) to enable autonomous robot navigation. Sargeni’s major contribution lies in designing and implementing specialized CNN-based boards that can perform the computationally intensive stereo vision algorithm in hardware, rather than relying on slower software solutions. This approach is critical for obstacle avoidance, allowing robots to sense their three-dimensional environment and react in real time. His most cited work, "Design of a dedicated CNN chip for autonomous robot navigation" (2002, 10 citations), establishes the foundational architecture for this task. This is complemented by his papers on a "dedicated hardware system for CNN stereo vision" (2003, 8 citations) and a "board for CNN-based stereo vision" (2002, 5 citations), which detail the practical realization of these algorithms. While his citation counts reflect a specialized, niche field, Sargeni’s work is notable for its pioneering effort to bridge the gap between theoretical neural network algorithms and practical, real-time hardware implementations for robotic vision.