Papers

6

Total Citations

344

H-Index

5

About

Xiaoli Chu is a leading researcher in robotics and intelligent control systems, with a focus on human-robot interaction, multi-robot coordination, and advanced communication technologies. Her major contributions include developing a learning-based hierarchical control scheme for exoskeleton robots that enables seamless human-robot cooperative manipulation, and pioneering a motor-imagery-based brain-computer interface for teleoperating dual-arm robots—both works have garnered over 100 citations each, reflecting their significant impact. She has also advanced multi-robot systems through neural-dynamic optimization for formation control and introduced innovative approaches to underwater localization using molecular messaging. Notably, her recent work on reconfigurable intelligent surfaces for millimeter-wave communications addresses critical challenges in indoor mobile robot connectivity. With a total of over 340 citations across her most-cited papers, Chu’s research bridges robotics, control theory, and wireless communications, offering practical solutions for assistive technologies, industrial automation, and autonomous systems. Her interdisciplinary achievements make her a key figure in shaping the future of intelligent robotic systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
344
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
A Learning-Based Hierarchical Control Scheme for an Exoskeleton Robot in Human–Robot Cooperative Manipulation
109 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: University of Science and Technology of China, University of Sheffield

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago