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About

Quan Wang is a pioneering researcher at the intersection of soft robotics, intelligent materials, and autonomous systems. His most impactful contribution is the development of skin-inspired conductive self-healing hydrogels, which integrate autonomic self-healing, pressure sensitivity, stretchability, and 3D printability into a single material. This work, published in 2017 and garnering over 670 citations, has opened new pathways for soft robots, biomimetic prostheses, and wearable health monitors by mimicking the multifunctionality of human skin. Wang’s research also extends to robotic manipulation, where he explores vision-tactile fusion for detecting deformation and slippage during grasping of deformable objects—critical for dexterous automation. Additionally, his review on tracking control of nonholonomic mobile robots provides a foundational framework for motion control in autonomous vehicles and field robotics. Through these contributions, Wang bridges material science and control engineering, advancing both the hardware and intelligence of next-generation robotic systems. His work is widely cited and continues to inspire innovations in self-healing electronics and adaptive robotic grippers.