Eleni Petraki

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About

Eleni Petraki is a researcher at the intersection of robotics, artificial intelligence, and education, with a focus on how machines learn and how humans teach them. Her most-cited work, "Teaching and Learning Robotics: A Pedagogical Perspective" (2022, 12 citations), provides a foundational framework for integrating robotics into educational curricula, emphasizing the need for structured pedagogical approaches as the field expands. She has also pioneered novel approaches to collective intelligence, as seen in "A machine education approach to swarm decision-making in best-of-n problems" (2021, 4 citations), where she applies machine teaching principles to guide swarm robotics in making optimal collective choices—a contribution that bridges AI training and multi-agent systems. Earlier, her work on "Evolving Story Narrative Using Surrogate Models of Human Judgement" (2013, 2 citations) explored computational creativity, using surrogate models to generate narratives that align with human aesthetic preferences. Though her citation counts are modest, Petraki’s research is notable for its interdisciplinary ambition, connecting robotics education, swarm intelligence, and creative AI. Her work offers valuable insights for students and researchers interested in how machines can be taught—both by humans and by other machines—to make decisions and create meaning.