Papers
9
Total Citations
116
H-Index
6
About
Florent Levillain is a pioneering researcher at the intersection of robotics, human-robot interaction, and behavioral design, whose work explores how non-anthropomorphic robotic systems communicate and express themselves through motion. His key research areas include swarm robotics, human-swarm interaction, and the application of dance notation systems—such as Laban notation—to robot movement generation. Levillain’s major contributions center on developing methods for robotic swarms to convey information and situational awareness through collective group motion, rather than relying on verbal or visual cues. His seminal paper "Collective expression: how robotic swarms convey information with group motion" (2019) has garnered 25 citations, while his interdisciplinary work "On the use of dance notation systems to generate movements in humanoid robots" (2017) has received 21 citations. Levillain has also advanced the concept of "behavioral objects," designing robotic artifacts that are perceived as living, intentional entities, as explored in his 2015 paper "Towards Behavioral Objects." His research has been published in leading venues like the ACM/IEEE International Conference on Human-Robot Interaction and the Journal of Human-Robot Interaction. Levillain’s innovative approach bridges art, dance, and engineering, making him a distinctive voice in creating more intuitive and expressive robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
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- 6(Mis)behavioral Objects8 citations · 2015
- 7Towards situational awareness from robotic group motion6 citations · 2019
- 8Moving on its Own6 citations · 2015
- 9Motion-based communication for robotic swarms in exploration missions2 citations · 2023