Zi‐Jun Guo

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About

Zi‐Jun Guo is a researcher focused on the intersection of robotics and electromagnetic compatibility, with a particular emphasis on the safe and reliable operation of autonomous systems in high-voltage environments. Their most notable contribution is the development and analysis of anti-electromagnetic interference measures for transformer oil extraction robots, a critical innovation for maintaining power infrastructure without human exposure to hazardous conditions. In their 2024 paper, Guo systematically defines the electromagnetic interference challenges faced by unmanned robots operating near running transformers, establishing clear electromagnetic compatibility test protocols and result rating standards. This work provides a foundational framework for evaluating and improving the disturbance resistance of robotic systems in complex electromagnetic fields. While their research is still emerging, with their key paper accumulating its first citation, Guo’s contributions are directly applicable to the modernization of electrical grid maintenance, offering practical solutions that enhance both operational safety and equipment longevity. Their work represents an important step toward fully autonomous, interference-tolerant inspection and maintenance robots in the power industry.