Zilu Wang

Papers

Total Citations

H-Index

About

Zilu Wang is an emerging researcher working at the intersection of wearable technology, human-machine interfaces, and rehabilitation robotics. Their work focuses on developing intelligent sensing systems and assistive devices that bridge the gap between cutting-edge engineering and practical human applications. Among Wang's notable contributions is a dual-mode wearable sensing system that simultaneously captures muscular deformation and biopotential signals, integrating machine learning to deliver comprehensive, real-time muscle activity monitoring in a lightweight, flexible form factor — a significant step forward in comfortable, scalable wearable health technology. Equally impactful is their work on a rigid-soft hybrid lower-limb exoskeleton driven by remote cable actuation, which cleverly combines the structural stability of rigid mechanisms with the adaptive comfort of soft robotics to enhance gait rehabilitation outcomes. Both papers have garnered 8 citations each, reflecting growing recognition within their respective communities of wearable sensing and assistive robotics. Wang's research demonstrates a consistent commitment to solving real-world human biomechanical challenges through interdisciplinary innovation. For students and researchers interested in smart wearables, rehabilitation engineering, or human-centered robotics, Wang's body of work offers valuable and timely insights into where these rapidly evolving fields are heading.