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About

Patricia Lago is a prominent software engineering researcher whose work sits at the intersection of robotics software architecture, energy efficiency, and self-adaptive systems. She has made significant contributions to understanding and improving how complex robotic systems—particularly those built on the Robot Operating System (ROS)—are designed and maintained at scale. Lago's most influential work includes empirical investigations into architectural practices within the ROS ecosystem, notably "How do you architect your robots?" (32 citations) and "Mining guidelines for architecting robotics software" (29 citations), which together establish foundational guidance for practitioners navigating increasingly complex robotic software landscapes. A distinctive thread running through her research is a commitment to sustainability: her studies on green architectural tactics and energy-aware design challenge the field's traditional focus on functionality alone, advocating for energy efficiency as a first-class concern in robotics development. More recently, Lago has extended her focus to self-adaptive robotics systems, exploring how software architectures can dynamically respond to runtime uncertainty—demonstrated through frameworks like ReBeT and broader surveys of architecture-based self-adaptation. With cumulative citations exceeding 100 across her key publications, her work offers both theoretical grounding and practical impact for researchers and engineers building the next generation of intelligent robotic systems.