Kangquan Guo

Northwest Institute of Mechanical and Electrical Engineering

Papers

Total Citations

H-Index

About

Kangquan Guo is an emerging researcher specializing in agricultural robotics, autonomous navigation, and intelligent sensing systems for precision agriculture. His work focuses on developing and advancing Simultaneous Localization and Mapping (SLAM) technologies tailored to the unique challenges of unstructured agricultural environments, including crop fields and orchards. Guo's most notable contribution lies in adapting LiDAR-based SLAM frameworks for real-world agricultural deployment. His 2024 paper on map construction and positioning for agricultural field inspection robots, which has garnered 16 citations, addresses the critical challenge of reliable localization in occluded and visually complex environments — a longstanding obstacle in outdoor agricultural autonomy. Building on this foundation, his 2025 work on an orchard inspection robot integrates ROS-based LiDAR-SLAM with a hybrid A*-DWA navigation algorithm, demonstrating robust path planning in dynamically unstructured orchard settings. With a growing citation record and a clear research trajectory, Guo is making meaningful strides toward practical, deployable robotic solutions for agricultural monitoring. His contributions are particularly relevant to researchers and engineers working at the intersection of field robotics, precision agriculture, and autonomous systems seeking scalable, real-world-ready navigation frameworks.