Papers
2
Total Citations
19
H-Index
2
About
Yannan Lv’s research focuses on intelligent construction robotics and automated indoor measurement, with key contributions in low-cost sensing and adaptive control for building tasks. Their work addresses critical labor shortages in the construction industry by developing robotic systems that can perform skilled trades like floor tiling. Lv’s most cited paper (2021, 11 citations) introduces a robot floor-tiling control method using a finite-state machine and visual measurement within a limited field of view, directly tackling the rising labor costs in construction. Another notable contribution (2022, 8 citations) presents a low-cost, self-adaptive terrestrial laser scanning system for indoor measurement, overcoming the high expense barrier that limits adoption of traditional TLS equipment. Lv’s innovations combine practical engineering with adaptive algorithms, making construction automation more accessible and economically viable. Their work has been recognized for its potential to transform traditional building practices, offering scalable solutions for aging societies facing workforce shortages.
Research Focus
Key Achievements
Top Papers
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