Madaín Pérez‐Patricio

Tuxtla Gutierrez Institute of Technology

Papers

Total Citations

H-Index

About

Madaín Pérez‐Patricio is a researcher specializing in real-time embedded systems, computer vision, and robotics, with a particular focus on FPGA-based implementations. His major contributions lie in advancing stereo matching algorithms for real-time depth perception, a critical component in autonomous navigation and 3D reconstruction. His most cited work, "FPGA implementation of an efficient similarity-based adaptive window algorithm for real-time stereo matching" (2015, 22 citations), demonstrates a novel approach that balances computational efficiency with accuracy, enabling high-speed processing on resource-constrained hardware. Building on this, his 2016 paper "An FPGA stereo matching unit based on fuzzy logic" (18 citations) introduces fuzzy logic techniques to handle ambiguous depth data, further improving robustness in dynamic environments. Additionally, Pérez‐Patricio contributed to real-time motion control in robotics, developing a communication protocol for a prototype robot that eliminates response delays, with potential for wireless control. His work bridges hardware design and algorithmic innovation, achieving practical real-time performance that is essential for applications like autonomous vehicles and industrial automation. With over 40 combined citations, his research continues to influence the development of efficient, intelligent vision systems.