Yiwen Song

Papers

Total Citations

H-Index

About

Yiwen Song is a rising leader in soft robotics and responsive materials, whose work is redefining how small-scale machines interact with their environments. Her research centers on wireless actuation strategies for soft robots, with a particular focus on liquid crystal elastomers (LCEs) and battery-free systems. In her highly cited 2023 paper, "Navigating Soft Robots through Wireless Heating," Song demonstrated a novel approach to powering shape-changing materials using external heat sources, overcoming the critical limitation of requiring direct line-of-sight for activation. This work, already garnering 13 citations, opens new pathways for untethered soft robots in confined or opaque environments. Song’s contributions are notable for bridging materials science and robotics, enabling precise, remote control of deformation without onboard power. Her achievements mark her as a key innovator in the quest for autonomous, wirelessly powered soft machines—an area with profound implications for biomedical devices, search-and-rescue, and environmental monitoring. For students and researchers, Song’s work exemplifies how clever materials design can unlock entirely new capabilities in robotics.