Luis Calvo-Varela

Universidade da Coruña, Center for Research in Molecular Medicine and Chronic Diseases

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About

Luis Calvo-Varela is a researcher whose work sits at the intersection of cognitive robotics, neuroevolution, and autonomous decision-making. His primary focus is on developing motivational architectures that enable robots to operate with genuine autonomy—not simply executing pre-programmed commands, but generating their own goals and adapting their behavior in real time. His most influential contribution is the "Motivational engine with autonomous sub-goal identification for the Multilevel Darwinist Brain" (2016, 33 citations), which proposes a framework where a robot can decompose complex tasks into self-identified sub-goals, driven by internal motivational states rather than external cues. This work, along with his "Neuroevolutionary Motivational Engine for Autonomous Robots" (2016), introduces a system that uses neuroevolution to balance exploratory and exploitative drives, allowing robots to learn value functions through interaction with their environment. Calvo-Varela has also demonstrated these principles on physical platforms, notably programming a Nao humanoid robot to play tic-tac-toe on a tactile tablet (2015) and integrating 3-D perception with onboard computation on the same platform (2015). His research bridges theoretical advances in artificial motivation with practical, embodied robotics, offering a compelling vision for machines that can learn, adapt, and act with increasing independence.