Daniela Kengyel
University of Graz, St. Pölten University of Applied Sciences
Papers
6
Total Citations
94
H-Index
5
About
Daniela Kengyel is a swarm robotics researcher whose work sits at the intersection of bio-inspired computing, collective intelligence, and autonomous systems. Her research primarily explores how groups of simple robots can exhibit sophisticated collective behaviors by drawing inspiration from nature — most notably from honeybee thermotaxis and social dynamics. Kengyel has made significant contributions to the study and refinement of the BEECLUST algorithm, a bio-inspired approach enabling robot swarms to aggregate at global optima even in complex environments with multiple competing local optima, demonstrating its robustness across varying conditions and configurations. Her most-cited work, "Potential of Heterogeneity in Collective Behaviors" (2015, 43 citations), investigates how introducing diversity within swarms can enhance overall group performance — a nuanced finding that challenges assumptions about uniformity in swarm design. She has also extended swarm research into aquatic environments, profiling underwater robotic shoaling behavior through simulation. Across her publications, Kengyel consistently emphasizes practical implementability, favoring algorithms with low computational requirements suitable for resource-constrained robots. Her cumulative body of work has garnered nearly 100 citations, establishing her as a meaningful contributor to the growing field of swarm intelligence and collective robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Profiling Underwater Swarm Robotic Shoaling Performance Using Simulation18 citations · 2014
- 3Embodiment of Honeybee’s Thermotaxis in a Mobile Robot Swarm12 citations · 2011
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