Linjun Lu

The University of Queensland, Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Linjun Lu is a rising researcher at the intersection of rehabilitation robotics and intelligent autonomous systems. His primary contributions lie in two impactful domains: developing lightweight, compliant exoskeletons for stroke rehabilitation and modeling complex social dynamics for pedestrian trajectory prediction. Lu’s most cited work, “CURER: A Lightweight Cable-Driven Compliant Upper Limb Rehabilitation Exoskeleton Robot” (2022, 60 citations), addresses a critical gap in assistive technology by introducing a cable-driven design that is both less bulky and more compliant than traditional devices, offering enhanced functionality for stroke patients. This innovation directly tackles the challenge of creating practical, wearable rehabilitation solutions. In parallel, his 2024 paper on “Modeling interpretable social interactions for pedestrian trajectory” (8 citations) advances autonomous vehicle safety by developing interpretable models that capture the heterogeneous and dynamic nature of human social interactions. By making these interactions more understandable, Lu’s work bridges the gap between machine perception and real-world human behavior. His research demonstrates a commitment to engineering solutions that are both technically rigorous and socially impactful, positioning him as a promising voice in human-centered robotics and AI.