Papers
8
Total Citations
125
H-Index
6
About
Yalun Xiang is a leading researcher in swarm robotics and collective behavior, whose work bridges experimental robotics, theoretical physics, and biological self-organization. His key research areas include nonreciprocal interactions, criticality in swarms, and perception-driven collective motion. Xiang’s major contributions center on demonstrating how local, vision-based, and density-dependent rules can produce global emergent phenomena—from chirality and hyperuniformity to multi-target trapping and scale-free correlations. His 2024 study on emergent chirality in an active mixture with nonreciprocal interactions (37 citations) is a landmark, using programmable robots to experimentally realize a minimal model of nonreciprocal alignment. He also provided the first experimental test of the criticality hypothesis in swarm robotics (18 citations), showing that swarms near the ordered-disordered transition achieve optimal responsiveness. Xiang’s work on motion salience (17 citations) and body orientation change (17 citations) has advanced understanding of how individual perception shapes collective dynamics. With over 125 total citations and a rapidly growing portfolio, Xiang’s research is foundational for designing responsive, decentralized robot swarms and for testing fundamental theories of collective behavior in physical systems.
Research Focus
Key Achievements
Top Papers
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- 4Perception of motion salience shapes the emergence of collective motions17 citations · 2024
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