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About

Zhanpeng Zhang is a multidisciplinary researcher whose work spans advanced materials science, robotics engineering, and autonomous systems. Perhaps his most significant contribution lies at the intersection of artificial intelligence and chiral materials, where his 2023 paper on the inverse design of chiral functional films using a robotic AI-guided system has garnered 61 citations — a remarkable achievement that underscores the novelty and impact of applying machine learning to engineer materials with tunable chiroptical properties relevant to sensing, catalysis, and optical devices. Beyond materials science, Zhang has made meaningful contributions to robotics engineering, particularly in the design of wall-climbing robots featuring magnetic adsorption and obstacle-crossing capabilities. His work addresses real-world industrial challenges, including hazardous ship maintenance and oil tank inspection, proposing mechanical and control system solutions that improve safety and operational efficiency. Additionally, his research into spatio-temporal ultrasonic datasets reflects an interest in advancing perception systems for autonomous robots, exploring how spatial and temporal cues from ultrasonic sensors can enhance navigation and collision avoidance. Collectively, Zhang's portfolio reveals a researcher comfortable bridging theoretical innovation and practical engineering application, making meaningful strides across multiple frontier domains in robotics and functional nanomaterials.