Run Cheng
Papers
1
Total Citations
3
H-Index
1
About
Run Cheng is a researcher whose work lies at the intersection of active matter physics, collective behavior, and complex systems. His most-cited paper, "Cohesion and polarization of active agent with visual perception" (2024), explores how agents using visual cues can self-organize into cohesive, polarized groups—a fundamental question in understanding swarm intelligence and biological motion. This work, which has already garnered 3 citations shortly after publication, demonstrates Cheng's ability to tackle core challenges in active matter: how local sensing leads to global order. By modeling agents that rely on visual perception rather than direct physical interaction, Cheng provides a framework for designing robotic swarms and interpreting natural phenomena like bird flocking or fish schooling. His contributions are particularly notable for bridging theoretical physics with practical applications in robotics and artificial life. As an emerging voice in the field, Cheng's research promises to deepen our understanding of how simple rules produce complex, coordinated motion in both natural and engineered systems.
Research Focus
Key Achievements
Top Papers
- 1Cohesion and polarization of active agent with visual perception3 citations · 2024