Pengcheng LV
Papers
4
Total Citations
12
H-Index
3
About
Pengcheng Lv is a researcher advancing the frontier of agricultural robotics, with a focused expertise in simultaneous localization and mapping (SLAM) and autonomous path planning for complex orchard environments. His work directly addresses the critical challenge of enabling robots to navigate reliably in unstructured, dynamic agricultural settings where traditional methods falter. Lv’s major contributions include the development of the Smooth Time Elastic Band (S-TEB) algorithm, a novel local path planning method designed to ensure full-coverage mowing for orchard robotic lawn mowers. He has also pioneered a robust SLAM approach that fuses Scan Context with an NDT-ICP scheme to overcome the difficulties posed by sparse canopy features and diffuse reflections in orchards. Further, his research on YOLOv5-based visual SLAM optimization tackles the problem of dynamic objects degrading localization accuracy in farm depots. With his most-cited papers from 2024 and 2025 already accumulating citations, Lv’s work is foundational for the next generation of eco-unmanned farms, providing the precise sensing and navigation capabilities essential for truly autonomous agricultural operations.
Research Focus
Key Achievements
Top Papers
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