Papers
30
Total Citations
714
H-Index
17
About
Tim Landgraf is a pioneering researcher at the intersection of robotics, artificial intelligence, and animal behavior, best known for his groundbreaking work in biomimetic robotics and collective behavior. His research has fundamentally advanced the use of robotic agents as scientific tools to decode the social lives of animals, from schooling fish to honeybee colonies. Landgraf's most celebrated contributions center on his development of robotic fish — particularly RoboFish — which achieved remarkable acceptance by live Trinidadian guppies through realistic eyes and naturalistic motion (95 citations). This line of work enabled unprecedented investigations into individual differences in social responsiveness, group formation strategies, and the emergence of collective behavior from individual speed dynamics. His studies of cave- and surface-dwelling fish further demonstrated the cross-species versatility of his approach. Equally influential is his decade-long effort to decode honeybee waggle dance communication, producing one of the first computer-vision-equipped biomimetic honeybee robots capable of replicating the full dance repertoire. His work on spiking neural networks controlling robotic behavior reflects a broader ambition to bridge neuroscience and machine intelligence. Collectively, Landgraf's research — spanning over 450 citations — has established interactive robotic conspecifics as an indispensable methodology in behavioral biology.
Research Focus
Key Achievements
Top Papers
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- 9Conditioned behavior in a robot controlled by a spiking neural network31 citations · 2013
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