Yuhua Li

Chinese Academy of Sciences, China University of Geosciences (Beijing), Northwestern Polytechnical University

Papers

Total Citations

H-Index

About

Yuhua Li is a leading researcher in human–robot collaboration and swarm robotics, with a focus on developing intuitive, adaptive interfaces that bridge human intent and robotic action. Their major contributions center on integrating Electrical Impedance Tomography (EIT) into human-machine interfaces, enabling real-time detection of forearm muscle contractions to dynamically adjust robotic controller impedance. This work, highlighted in their most-cited paper "An Electrical Impedance Tomography Based Interface for Human–Robot Collaboration" (2020, 27 citations), addresses critical challenges in adapting to operator intentions and external uncertainties during collaborative tasks. A related study, "Toward a Human-Machine Interface Based on Electrical Impedance Tomography for Robotic Manipulator Control" (2019, 22 citations), further demonstrates their innovation in non-invasive sensing for manipulator control. Beyond human-robot interaction, Li has advanced swarm robotics with "A parallel shape formation method for swarm robotics" (2022, 16 citations), showcasing scalable coordination strategies. Their work has garnered over 65 citations across these key publications, reflecting its impact on robotics and human-machine systems. Li’s research is notable for its practical applications in manufacturing, assistive technology, and autonomous systems, offering students and researchers a compelling vision of seamless, adaptive human-robot partnerships.