Nadine Chang

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About

Nadine Chang is a leading researcher in soft robotics and tactile sensing, with a focus on developing intelligent, deformable interfaces that bridge the gap between machine perception and physical interaction. Her most-cited work, "Soft Magnetic Tactile Skin for Continuous Force and Location Estimation Using Neural Networks" (2020, 91 citations), addresses critical barriers to the widespread adoption of soft robotic sensing skins—namely, non-scalable fabrication, limited customization, and complex system integration. By combining soft magnetic materials with neural network-based estimation, Chang’s design enables continuous, real-time tracking of contact location and force through a compliant, skin-like interface. This innovation has significant implications for prosthetics, human-robot interaction, and wearable haptics, where safe and adaptive touch sensing is essential. Her contributions stand out for their practical scalability and data-driven approach, offering a pathway from lab-scale prototypes to real-world applications. Chang’s work continues to influence the next generation of soft tactile systems, making her a key voice in the evolution of embodied intelligence and sensorized soft matter.