Papers
23
Total Citations
311
H-Index
11
About
Xiaokang Lei is a pioneering researcher at the intersection of swarm robotics, collective behavior, and active matter physics. His work spans fundamental questions in self-organization, emergent phenomena, and practical multi-robot coordination, establishing him as a significant voice in both theoretical and experimental swarm science. Lei's most celebrated contribution examines nonreciprocal interactions in active mixtures, revealing emergent chirality and hyperuniformity in programmable robot swarms (2024, 37 citations). Complementing this, his experimental investigations into the criticality hypothesis using Vicsek-like robot interactions provided rare physical confirmation of concepts long theorized in biological swarm research. His studies on motion salience, body orientation, and scale-free correlations further illuminate the sensory and interaction mechanisms underlying collective motion in nature and engineered systems alike. On the applied side, Lei has made substantial contributions to multi-target trapping and collaborative source-searching strategies, including gene regulatory network-inspired pattern formation and particle filter-based infotaxis algorithms, work that has collectively attracted over 100 citations. His research bridges biological inspiration with rigorous robotics implementation, offering frameworks directly applicable to autonomous systems operating in complex environments. Lei's growing citation record reflects his expanding influence across physics, biology, and robotics communities.
Research Focus
Key Achievements
Top Papers
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- 3Multi-target trapping with swarm robots based on pattern formation31 citations · 2018
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- 7Perception of motion salience shapes the emergence of collective motions17 citations · 2024
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