Papers
2
Total Citations
52
H-Index
2
About
Zongqian Wang is pioneering the next generation of intelligent sensory systems for humanoid robotics and wearable technologies. His research lies at the intersection of bioinspired electronics, nanofiber engineering, and tactile sensing, where he develops artificial skins that mimic the complex mechanoreceptors of human skin. In his highly cited 2025 work, *"A Bionic Textile Sensory System for Humanoid Robots Capable of Intelligent Texture Recognition"* (41 citations), Wang engineered a single-device system that emulates both slow-adaptive (SA) and fast-adaptive (FA) cutaneous receptors, enabling robots to intelligently discriminate textures with unprecedented fidelity. Complementing this, his *"Ultrathin Elastomer Nanofiber‐Based Skin‐Like Electronic with Multi‐Mode Sensing Capabilities"* (11 citations) introduces a breakthrough in integrating multimodal sensing—pressure, strain, and temperature—within an ultrathin, flexible platform. By overcoming the traditional trade-off between comprehensive sensing and mechanical robustness, Wang’s work directly advances prosthetics and humanoid interaction with complex environments. His contributions are shaping the future of soft robotics and smart wearables, offering a scalable path toward truly skin-like electronic systems.
Research Focus
Key Achievements
Top Papers
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