Yandong Xiao

National University of Defense Technology

Papers

Total Citations

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About

Yandong Xiao investigates the fundamental principles of collective behavior in biological and robotic systems, with a focus on how perception and motion salience drive self-organization. In their most cited work (2023, 19 citations), Xiao explores how unmanned swarms achieve adaptive collective behavior through visual perception, addressing a critical gap in classical models that rely on velocity and position data. Their 2024 paper (17 citations) introduces a heuristic measure of motion salience, demonstrating how relative motion perception shapes emergent collective motions—a finding with direct implications for swarm robotics. Xiao also contributes to practical applications, such as area coverage using an anti-flocking framework with dynamical clustering (2022), which enhances coverage rates and reduces time costs for tasks like surveillance and search-and-rescue. By bridging theoretical insights from animal group behavior with engineering solutions, Xiao’s work advances the design of more adaptive, perception-driven swarms for the Internet of Things and autonomous systems.