Max Robotics — Global Service Robot Directory + US Certification

About

Suhua Li is a leading researcher in intelligent mining equipment and automation, with a focus on the coordinated control of hydraulic supports and scraper conveyors in longwall mining operations. Her work addresses critical challenges in underground coal extraction, particularly the precise positioning and straightening of armoured face conveyors—a key factor in mining efficiency and safety. Li’s most cited paper, “Virtual straightening of scraper conveyor based on the position and attitude solution of industrial robot model” (2021, 22 citations), introduces an innovative approach that models the floating connecting mechanism’s spatial movement to reduce errors between actual and theoretical conveyor displacement. She further advanced this field with “Path Planning of Hydraulic Support Pushing Mechanism Based on Extreme Learning Machine and Descartes Path Planning” (2021, 9 citations), integrating machine learning for optimized motion coordination. Her 2022 work on straightening armoured face conveyors using reverse floating connection kinematics (8 citations) addresses the persistent problem of limited sensing data and low straightening accuracy. Li’s contributions are foundational for developing autonomous, sensor-driven mining systems that enhance operational precision and safety in challenging subterranean environments.