Zhenghong Qin

Southwest University of Science and Technology

Papers

Total Citations

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About

Zhenghong Qin is a robotics researcher specializing in multi-sensor fusion, simultaneous localization and mapping (SLAM), and autonomous navigation in GPS-denied environments. His work addresses critical challenges in indoor robotics, particularly where traditional LiDAR and visual sensors struggle. Qin’s most cited paper (2020, 16 citations) introduces a novel method combining laser and RFID for robust multiple dynamic object identification and localization, significantly improving human-object interaction in cluttered indoor settings. He further advances the field with collaborative radio SLAM for multi-robot systems (2021, 8 citations), leveraging WiFi fingerprint similarity to enable efficient large-scale mapping without heavy computational feature extraction. His 2022 work (8 citations) proposes an efficient WiFi-LiDAR SLAM framework that overcomes LiDAR’s limitations in geometrically-degraded environments by exploiting existing WiFi infrastructure for improved loop closure detection and reduced computational load. Collectively, Qin’s research demonstrates a pragmatic shift toward cost-effective, infrastructure-aware robotic perception, making autonomous navigation more accessible and robust in real-world indoor spaces.