Yujia Song

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About

Yujia Song is a pioneering researcher at the forefront of soft robotics and flexible electronics, whose work addresses a critical bottleneck in the field: the integration of truly deformable, robust sensors into compliant robotic systems. Song’s major contribution lies in the development of liquid metal-based sensors that overcome the fundamental incompatibility between rigid electronics and soft actuators. By engineering gallium-based alloys into highly stretchable, self-healing circuits, Song has created sensor platforms that can withstand extreme deformation—over 500% strain—while maintaining electrical continuity and autonomous repair after damage. Their landmark 2025 paper, “Liquid Metal Sensors for Soft Robots,” has already garnered 7 citations in its first year, signaling rapid adoption by the community. This work demonstrates a practical pathway to embedding proprioception and tactile sensing into entirely soft-bodied robots, enabling applications from search-and-rescue manipulators to wearable rehabilitation devices. Song’s research elegantly solves the paradox of creating sensors that are both highly conductive and endlessly deformable, establishing a new design paradigm that promises to accelerate the transition of soft robots from laboratory curiosities to real-world tools.