Lan Niu

Papers

Total Citations

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About

Lan Niu is a pioneering researcher at the intersection of brain-computer interfaces (BCI) and multi-robot systems. Her most cited work, "A BCI-Based Motion Control System for Heterogeneous Robot Swarm" (2022, 6 citations), introduces a groundbreaking method to translate human brainwave signals—specifically steady-state visual evoked potentials (SSVEP)—into real-time commands for controlling diverse robots within a heterogeneous swarm. This research addresses a critical challenge in swarm robotics: enabling intuitive, human-directed coordination of varied robotic agents without physical interfaces. By establishing a robust BCI framework, Niu’s work opens new possibilities for assistive technologies, disaster response, and collaborative human-robot teams. Her contributions lie at the nexus of neural engineering and swarm intelligence, demonstrating how cognitive signals can seamlessly guide complex multi-agent systems. With a focus on practical, real-world applications, Niu’s research advances the frontier of non-invasive brain control, offering a scalable solution for human-swarm interaction. Her innovative approach has garnered attention for its potential to empower individuals with motor impairments and enhance human-robot collaboration in dynamic environments.