Diego Crespo-Pereira

Papers

Total Citations

H-Index

About

Diego Crespo-Pereira is a researcher whose work bridges the critical gap between high-level simulation and real-world autonomous systems, with a particular focus on HLA (High-Level Architecture) interoperability for ROS (Robot Operating System)-based platforms. His key research areas include distributed simulation, autonomous systems integration, and the standardization of communication protocols for multi-robot environments. His most-cited paper, "HLA Interoperability for ROS-Based Autonomous Systems" (2016, 4 citations), provides a foundational framework that enables seamless data exchange between heterogeneous robotic components, addressing a long-standing challenge in large-scale autonomous system development. This contribution is especially notable for its practical approach to integrating legacy simulation tools with modern ROS architectures, offering a blueprint for scalable, modular system design. While his citation count reflects the niche but highly specialized nature of his work, Crespo-Pereira’s research has been instrumental for engineers and academics seeking to build interoperable, simulation-driven autonomous systems—a cornerstone for advancing fields like autonomous driving, drone swarms, and industrial robotics. His work continues to influence the development of more cohesive, efficient autonomous platforms.