Zhengyan Wang

University of Science and Technology of China

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About

Zhengyan Wang is a researcher specializing in soft robotics, bio-inspired systems, and multimodal sensing technologies. Their work sits at the intersection of mechanical design and sensory integration, addressing one of the field's most pressing challenges: enabling soft robots to perceive and respond intelligently to their environments. Wang's most notable contribution is the development of a modular origami soft robot capable of simultaneously sensing interaction forces and body configuration, published in 2022 and already amassing 60 citations — a remarkable milestone reflecting the work's significance to the robotics community. This research advances the functional versatility of soft robots operating in human-centered and unstructured environments, pushing the boundaries of what bio-inspired designs can achieve. Building on this foundation, Wang's more recent work introduces a soft inductive bimodal sensor that integrates proprioception and tactile sensing, drawing inspiration from biological somatosensory systems to help soft machines detect both posture and external stimuli simultaneously. This elegant approach mirrors how living organisms process environmental feedback. Collectively, Wang's research makes meaningful strides toward soft robots that are safer, smarter, and more adaptive — qualities essential for real-world deployment alongside humans.