Qi Feng

Wuyi University, Shandong Normal University

Papers

Total Citations

H-Index

About

Qi Feng is a researcher specializing in autonomous robotics and optimization algorithms, with a focus on enhancing the reliability and efficiency of mobile systems. His major contributions include pioneering the use of attention networks for abnormal occupancy grid map recognition, a critical advancement for autonomous positioning and navigation. This work, published in 2022, addresses the challenge of automating the detection of map anomalies—a task traditionally reliant on labor-intensive manual inspection—thereby improving the robustness of robotic perception systems. Additionally, Feng has applied ant colony optimization to the power line routing problem (2016), demonstrating his versatility in solving complex, real-world optimization challenges. Though his citation counts are currently modest (4 and 3 citations respectively), his research represents foundational steps toward scalable, automated quality assurance in robotics and infrastructure planning. Feng’s work is particularly notable for bridging deep learning and metaheuristic optimization, offering practical solutions that reduce human intervention in critical engineering tasks. His contributions are valuable for students and researchers exploring intelligent navigation systems and nature-inspired algorithms.