Arwin Gansekoele

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About

Arwin Gansekoele is a researcher in evolutionary robotics and embodied artificial intelligence, whose work focuses on understanding how robot morphology—the physical form and structure of machines—can be systematically explored and optimized through evolutionary algorithms. His key research areas include morphological novelty search, evolutionary exploration, and the intersection of robot design and learning. Gansekoele’s major contribution lies in challenging conventional assumptions about how algorithms explore morphological spaces. In his most-cited work, "Insights in evolutionary exploration of robot morphology spaces" (2018, 3 citations), he demonstrated a counterintuitive finding: selection based on morphological novelty actually explored fewer regions of the morphology space compared to other algorithms, prompting a rethinking of how diversity-driven search operates in embodied systems. This insight has implications for designing more efficient robots and understanding the role of physical form in evolutionary processes. Though early in his career, Gansekoele’s work contributes to foundational questions in robotics and artificial life, offering valuable perspectives for students and researchers interested in how evolution shapes not just behavior, but the very bodies of autonomous agents.