Mario Negrello

Fraunhofer Institute for Intelligent Analysis and Information Systems

Papers

Total Citations

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About

Mario Negrelli’s research lies at the intersection of cognitive robotics, neurodynamics, and embodied intelligence, with a focus on how agents develop adaptive behavior through shared values and dynamical systems. His most cited work, “Emulation and behavior understanding through shared values” (2010, 20 citations), explores how robots can infer and predict others’ actions by aligning internal value systems—a foundational contribution to social robotics and theory of mind in artificial systems. In “Adaptive Neurodynamics” (2008, 3 citations), Negrelli applies dynamical systems theory to recurrent neural networks evolved for autonomous robot control, demonstrating how complex, adaptive behavior emerges from simple neural dynamics. Though his citation counts are modest, his work is conceptually influential, bridging neuroscience, robotics, and philosophy of mind. Negrelli’s achievements include pioneering the use of evolutionary robotics to study neural mechanisms underlying perception-action loops, and his research continues to inform work on value-driven learning and minimal cognition. For students and researchers, his profile exemplifies how rigorous theoretical grounding in dynamical systems can yield profound insights into the origins of adaptive intelligence.