Linqing Huang

Guangdong University of Technology, South China University of Technology

Papers

Total Citations

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About

Linqing Huang is a robotics researcher whose work lies at the intersection of autonomous navigation and legged locomotion. Huang’s primary contributions are in two key areas: enhancing visual SLAM (Simultaneous Localization and Mapping) for dynamic environments and designing specialized walking-climbing robots. In their most cited work, "A Mobile Robot Visual SLAM System With Enhanced Semantics Segmentation" (2020, 32 citations), Huang addresses a critical limitation of traditional SLAM systems, which struggle in large-scale, dynamic settings. By integrating advanced semantic segmentation, this work enables robots to better understand and navigate complex, changing surroundings, marking a significant step forward for robust autonomous navigation. Huang’s second notable contribution, "The System Design and Gait Planning for Walking-Climbing Hexapod" (2019, 5 citations), showcases a practical engineering achievement: the design and implementation of the WeLCH hexapod robot. This robot is purpose-built for inspecting glass screen walls, demonstrating Huang’s ability to translate theory into a functional system with real-world applications. Through these works, Huang has laid important groundwork for more intelligent and versatile mobile robots, with their SLAM research providing a foundation for future systems that can operate reliably outside of controlled laboratory settings.