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About

Carlos Gavidia-Calderon investigates the intersection of autonomous systems, human-computer interaction, and social identity theory, with a focus on improving emergency coordination and human-robot collaboration. His major contributions include developing the IDEA architecture, an identity-aware framework that enables autonomous systems like drones and rescue robots to detect and adapt to human social identities during emergencies. This work demonstrates how embedding social identity detection in drones can enhance cooperative behavior and decision-making in high-stakes scenarios. Gavidia-Calderon also explores game-theoretic approaches to address the uncertainty of human preferences, allowing systems to adapt their behavior to multiple users' expectations. His research on robotics software engineering reveals how developers' values influence system design, emphasizing the need for systematic value engineering. With papers published between 2022 and 2024, his work has accumulated citations from the autonomous systems and human-robot interaction communities. His notable achievement lies in bridging social psychology and software engineering to create more responsive, human-aware autonomous systems for critical applications like emergency response.