David Mezey

Humboldt-Universität zu Berlin, Humboldt State University

Papers

Total Citations

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About

David Mezey is an emerging researcher at the intersection of collective behavior, swarm robotics, and computational modeling. His work focuses on understanding how individual-level decision-making processes give rise to collective dynamics, with particular emphasis on the role of visual social information in group behavior. Mezey's most influential contribution explores collective foraging as a lens through which to examine the fundamental trade-off between personal and social information use — a question central to both biological and artificial systems. His 2024 paper on this topic has already garnered 15 citations, reflecting rapid uptake within the collective behavior community. Beyond biological systems, Mezey has made notable strides in bio-inspired robotics. His 2025 work on purely vision-based collective movement in robot swarms addresses a critical vulnerability in traditional swarm systems — their reliance on global information or explicit communication — by developing locally-sensed, biologically-inspired alternatives. With 12 citations accrued within its first year, this research signals strong interest from the robotics community. Across his portfolio, Mezey's work bridges animal behavior and engineering, offering insights that advance both our understanding of natural collectives and the design of resilient, autonomous robot swarms.