Shiqi Zhao

City University of Hong Kong, University of California San Diego

Papers

Total Citations

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About

Shiqi Zhao is a robotics researcher specializing in autonomous navigation, place recognition, and localization systems — areas critical to enabling robots and autonomous vehicles to operate reliably across large-scale, long-term deployments. His work addresses some of the most persistent challenges in the field, including viewpoint invariance, sensor robustness, and scalable perception. Among his most notable contributions is his comprehensive survey on place recognition for real-world autonomy (2025, 24 citations), which synthesizes two decades of community progress and charts a roadmap toward practical deployment. His development of SphereVLAD++ (2022, 19 citations) demonstrates particular ingenuity — leveraging attention mechanisms and signal enhancement to produce LiDAR-based descriptors that remain stable across varying viewpoints, directly improving localization reliability for applications like autonomous driving and last-mile delivery. His more recent iLoc system (2025) further advances the field by introducing an adaptive and efficient visual localization framework tailored for dynamic, real-world environments. Zhao's growing citation record reflects an emerging but already influential voice in autonomous systems research. Students exploring mobile robotics, simultaneous localization and mapping, or sensor-based perception will find his work both technically rigorous and practically grounded.