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About
Ying Si is an emerging researcher in the field of intelligent robotics and electromagnetic compatibility (EMC), with a specific focus on the operational challenges of unmanned systems in high-voltage power environments. Si’s key research areas include the design and analysis of robotic platforms for transformer maintenance, particularly addressing the critical issue of anti-electromagnetic interference (EMI) in complex electromagnetic fields. Their most notable contribution, detailed in the 2024 paper “Analysis and Improvement Measures of Anti-Electromagnetic Interference for Transformer Oil Extraction Robots,” provides a systematic framework for defining the anti-disturbance performance of unmanned oil extraction robots operating on live transformers. This work establishes clear electromagnetic compatibility test items and rating standards for evaluating robot resilience, offering practical improvement measures that enhance operational reliability in substations. Although early in their career with 1 citation to date, Si’s research addresses a vital gap in industrial robotics—ensuring that automated equipment can function accurately without disruption from intense EMI. This foundational study serves as a valuable reference for engineers and researchers developing robust robotic systems for critical energy infrastructure.
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