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About

Yaoming Li is a pioneering researcher at the intersection of agricultural robotics and autonomous systems, with a focus on developing intelligent machinery for complex farming environments. His work spans two complementary domains: robotic harvesting technology and tracked robot control systems, both aimed at advancing the automation of agricultural processes. Li's most recognized contributions center on mushroom harvesting robotics. His 2021 studies on *Agaricus bisporus* (button mushroom) harvesting attracted significant attention, accumulating 69 and 33 citations respectively, demonstrating the field's appetite for practical solutions to delicate picking challenges. His development of a specialized robotic mechanism — integrating positioning, picking, and stipe trimming functions with a 91.4% success rate — represents a meaningful leap forward in automating labor-intensive mushroom cultivation. Equally influential is his work on tracked robot navigation in complex farmland terrain. By developing adaptive backstepping control methods grounded in real-time slip parameter estimation, Li addressed a critical challenge in agricultural robotics: ensuring stable movement across unpredictable surfaces. This research has garnered 65 citations, reflecting its broad relevance to field robotics communities. Together, Li's contributions mark him as a significant voice in smart agriculture and precision farming automation.