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About

Diana Tsankova is a researcher whose work sits at the fascinating intersection of autonomous robotics, artificial intelligence, and bio-inspired computing. Her research has focused primarily on developing intelligent navigation and control systems for autonomous mobile robots, drawing inspiration from biological and psychological phenomena including immune networks, emotional models, and swarm intelligence. Tsankova's most significant contributions centre on stigmergy-based foraging behaviour — a coordination strategy borrowed from social insects — applied to multi-robot systems. Her early foundational work (2004) demonstrated how simple local interactions could produce complex collective tasks such as object clustering, while her later studies integrated artificial immune network control to enhance robot coordination, accumulating 23 citations in her most-cited paper. A particularly distinctive thread in her research is the incorporation of emotional modelling: she investigated how stress-like emotional interventions, informed by psychoneuroimmunology, could influence artificial immune networks governing robot navigation, bridging affective computing with robotics in an original way. With contributions spanning sensor-based navigation, Q-learning-driven behaviour coordination, and emotionally modulated multi-agent systems, Tsankova has consistently pushed toward more adaptive, biologically plausible robot intelligence. Her body of work offers students a compelling example of how interdisciplinary thinking can enrich autonomous systems research.