Wang Chang

The University of Texas at Dallas, Nankai University

Papers

Total Citations

160

H-Index

About

Wang Chang is a leading figure in the emerging field of bioinspired soft robotics, with a focus on developing intelligent, adaptive systems that integrate sensing and actuation. His major contributions center on creating somatosensitive film-based soft crawling robots driven by artificial muscles, a breakthrough that enables load carrying and robust multi-terrain locomotion without the bulk and rigidity of traditional motor-driven or pneumatic systems. This work, published in 2021, has garnered 88 citations, reflecting its significance in advancing practical, compliant robotics. In a parallel innovation, Chang pioneered microfluidic manipulation using spiral hollow-fibre actuators, achieving rapid, integrated sensing and flow control within the confined spaces of microfluidic devices. This 2022 paper has already earned 72 citations, underscoring its impact on lab-on-a-chip technologies. By merging soft actuation with embedded sensory feedback, Wang Chang is redefining the capabilities of soft robots and microsystems, offering elegant solutions for applications ranging from search-and-rescue to biomedical diagnostics. His work stands out for its material ingenuity and systems-level thinking, making him a key voice in the next generation of adaptive, lifelike machines.