Christophe Eloy
Papers
3
Total Citations
65
H-Index
3
About
Christophe Eloy is a leading figure in fluid dynamics and collective behavior, whose work bridges theoretical physics, biology, and robotics. His research primarily explores how organisms and artificial agents move through fluids and coordinate in groups, with a focus on the mechanisms of self-organization. Eloy’s most impactful contribution is his 2015 study on collective motion with anticipation, which demonstrated that when individuals predict their neighbors’ future orientations, traditional flocking patterns break down, giving rise to novel states like spinning and swarming. This work, with 59 citations, challenges classical models and has reshaped our understanding of how anticipation influences group dynamics. More recently, Eloy has pushed boundaries by integrating reinforcement learning into microswimmer navigation in complex flows (2025) and implementing visual collective behaviors on spherical robots (2025), showing how limited sensing can still produce coordinated motion. His innovative “robot-in-the-loop” approach bridges simulation and reality, offering practical insights for swarm robotics. With a career marked by rigorous theoretical analysis and experimental validation, Eloy continues to inspire researchers in active matter, biophysics, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Collective motion with anticipation: Flocking, spinning, and swarming59 citations · 2015
- 2
- 3Visual collective behaviors on spherical robots3 citations · 2025