Qingning Lan
Papers
1
Total Citations
12
H-Index
1
About
Qingning Lan is a robotics researcher specializing in the mechanics of locomotion on granular and deformable terrains. Their work bridges theoretical soil mechanics and robotic design, with a primary focus on improving the mobility of rotary robotic locomotors—such as wheels and screws—on sand, soil, and other loose substrates. Lan’s most-cited paper, "Improved Terzaghi-theory-based interaction modeling of rotary robotic locomotors with granular substrates" (2020, 12 citations), introduces a refined model that adapts classical Terzaghi bearing capacity theory to predict wheel–soil interactions more accurately. This contribution addresses a critical gap in terramechanics, enabling better control and design of robots operating in unstructured environments like deserts, construction sites, or extraterrestrial surfaces. By providing a more reliable framework for estimating traction and sinkage, Lan’s work has practical implications for planetary rovers, agricultural robots, and search-and-rescue vehicles. Though early in their career, Lan’s focused, theory-driven approach to robotic locomotion has already garnered attention from researchers in field robotics and geotechnical engineering, positioning them as a rising expert in terrain–robot interaction modeling.
Research Focus
Key Achievements
Top Papers
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