Jun Liang Lau

Singapore University of Technology and Design

Papers

Total Citations

H-Index

About

Driven by a passion for human-robot interaction and rehabilitation technology, Jun Liang Lau’s research focuses on the design and characterisation of wearable sensing systems. His most-cited work, including two 2020 papers, introduces a novel wearable joint sensing device based on an inverted slider crank mechanism and conductive fabrics. These contributions address a critical challenge in soft robotics and rehabilitation: creating comfortable, fabric-based sensors that accurately track human joint motion. Lau’s work demonstrates how conductive textiles can be integrated into mechanical linkages to produce robust, low-cost alternatives to traditional rigid sensors. Though his citation counts are currently modest—with each paper garnering two citations—his foundational research lays important groundwork for future innovations in smart textiles and wearable robotics. By combining mechanical design with material characterisation, Lau offers a practical pathway toward more natural and unobtrusive human-machine interfaces. His efforts are particularly relevant for applications in assistive devices, sports performance monitoring, and interactive entertainment systems. As the field of wearable sensing continues to expand, Lau’s early-stage contributions hold promise for enabling more intuitive and accessible technologies that bridge the gap between humans and machines.