Chongxi Meng

Papers

Total Citations

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About

Chongxi Meng is a researcher focused on advancing autonomous navigation and robotic perception, particularly in complex, non-continuous environments. His most cited work, "Improvement of Gmapping Algorithm Based on Non-continuous System" (2019), addresses a critical challenge in simultaneous localization and mapping (SLAM) for robots operating in real-world settings like granaries, where obstacles and gaps disrupt continuous sensor data. By refining the Gmapping algorithm, Meng’s contribution enhances robot reliability in such fragmented spaces, enabling more robust autonomous movement for industrial and agricultural applications. With 3 citations, this paper lays groundwork for improving robotic efficiency in logistics and storage facilities. Meng’s research bridges theoretical SLAM improvements with practical deployment, underscoring the growing role of robotics in replacing manual labor. His work is particularly relevant for students and engineers exploring adaptive navigation systems, offering a targeted solution to a persistent problem in field robotics. Through this focused innovation, Chongxi Meng demonstrates a commitment to making robots more capable in the challenging, non-ideal environments that define real-world automation.