Ruiqing Mao

Papers

Total Citations

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About

Ruiqing Mao is a researcher specializing in robotics and wireless sensor networks within the demanding context of coal mine safety and automation. His work addresses one of the most critical challenges in underground mining: enabling robotic systems to operate safely in hazardous environments where explosive gas concentrations pose life-threatening risks. Mao's most influential contributions focus on intelligent path planning algorithms that allow coal mine robots to dynamically detect and navigate around dangerous gas distribution zones, compensating for the fact that current explosion-proof robot technology has not yet achieved the intrinsic safety standard required for direct operation in such areas. His 2018 paper on obstacle avoidance in gas hazard zones has garnered 13 citations, reflecting meaningful recognition within this specialized field. Complementing this work, Mao has also investigated energy efficiency strategies for wireless sensor networks deployed in coal mine environments, proposing self-adaptive methods to extend node operational lifespans in these vital but resource-constrained settings. Collectively, his research contributes practical, safety-driven solutions that push forward the frontier of autonomous robotics in one of the world's most dangerous industrial environments.