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About

Wuqiang Yang is a leading researcher at the intersection of robotics, tactile sensing, and intelligent perception, with a body of work that has meaningfully advanced how robots understand and interact with the physical world. His research spans embodied tactile perception, material recognition, warehouse automation, and large-area robotic skin systems, reflecting a sustained commitment to bridging sensing technology with real-world robotic applications. Yang has made significant contributions by developing capacitive and piezoresistive tactile sensor arrays, electrical capacitance and resistance tomography (ECT/ERT) systems, and machine learning-driven recognition frameworks that enable robots to identify materials, internal object distributions, and contact forces with remarkable fidelity. His 2020 work on embodied tactile perception and learning (29 citations) laid important conceptual groundwork for understanding brain-body-environment interaction in robotic systems, while his visual affordance-guided material recognition research (29 citations) demonstrated compelling applications in sustainable waste recycling. His investigations into non-destructive testing using eddy current sensors further highlight his versatility across industrial domains. With over 145 cumulative citations across his most impactful publications, Yang's research is shaping the future of intelligent robotic manipulation in smart cities and automated industrial environments.