Yili Liu

Papers

Total Citations

435

H-Index

About

Yili Liu is a pioneering researcher at the intersection of human-machine interaction and neural engineering, with a primary focus on brain-computer interfaces (BCIs) and collaborative robotics. Her most influential work, the 2013 survey "EEG-Based Brain-Controlled Mobile Robots," has garnered 386 citations and established her as a leading voice in assistive technology for individuals with severe motor disabilities. In this comprehensive review, she systematically analyzed the complete systems, key techniques, and evaluation methods for brain-controlled mobile robots, providing a foundational roadmap for the field. Liu further advanced the domain by developing queuing network models to simulate and predict driver performance when steering vehicles using EEG signals—a breakthrough that not only aids disabled individuals but also offers complementary control methods for broader driving applications. Her more recent work explores the critical challenge of human prediction of robot intentions during object handling tasks, addressing the fundamental need for predictable movement patterns in human-robot teams. Through her research, Liu has demonstrated that directly harnessing brain signals for control can transform assistive mobility and enhance human-machine collaboration, making her contributions essential reading for students and researchers in neural engineering and human-robot interaction.