J.L. Mayorquim

Heuristics and Diagnostics for Complex Systems, Université de Technologie de Compiègne

Papers

Total Citations

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About

J.L. Mayorquim is a robotics researcher whose work centers on the intersection of parallel computing, reconfigurable hardware, and mobile robot perception. His major contributions lie in designing cost-effective, high-performance vision systems that tightly couple algorithm development with hardware architecture. His most cited paper, "A Reconfigurable and Flexible Parallel 3D Vision System for a Mobile Robot" (2002, 17 citations), demonstrates that adapting algorithms and hardware to each other yields a low-cost yet powerful solution, establishing configurable and flexible parallel architectures as a key design principle for robotic vision. Earlier work, "Perception Sensor for a Mobile Robot" (1997, 8 citations), laid foundational insights into sensor integration for autonomous navigation. While his citation counts are modest, Mayorquim's emphasis on hardware-software co-design and reconfigurability was ahead of its time, anticipating later trends in embedded vision and FPGA-based robotics. His research offers valuable lessons for students and engineers seeking to balance performance, flexibility, and cost in real-world robotic systems.