Miguel Arias Estrada

National Institute of Astrophysics, Optics and Electronics

Papers

Total Citations

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About

Miguel Arias Estrada is a leading researcher at the intersection of reconfigurable computing and robotics, with a focus on developing efficient hardware/software architectures for real-time autonomous systems. His most-cited work, "Hardware/Software FPGA Architecture for Robotics Applications" (2009, 10 citations), introduces a novel framework that leverages Field-Programmable Gate Arrays (FPGAs) to accelerate critical robotic tasks such as sensor processing and control loops. This contribution addresses the growing demand for low-latency, power-efficient solutions in embedded robotics, bridging the gap between software flexibility and hardware performance. Beyond this seminal paper, Estrada has advanced the design of FPGA-based coprocessors for computer vision and motion planning, enabling robots to operate more reliably in dynamic environments. His work is particularly notable for its practical impact on educational and research platforms, where his architectures have been adopted for rapid prototyping. With a career dedicated to pushing the boundaries of reconfigurable logic in robotics, Estrada continues to inspire innovations in adaptive hardware design, making him a key figure in the evolution of intelligent autonomous systems.