Tian Hu

Papers

Total Citations

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About

Tian Hu is an emerging researcher specializing in robot localization, sensor fusion, and autonomous navigation in GNSS-denied environments. His work sits at the intersection of robotics, state estimation, and multi-sensor integration, with a particular focus on enabling reliable positioning for legged and quadruped robotic systems operating in complex, real-world conditions. His most recognized contribution to date, "Tightly Coupled LIDAR/IMU/UWB Fusion via Resilient Factor Graph for Quadruped Robot Positioning" (2024), has already garnered 10 citations since its publication — a strong early indicator of its relevance to the robotics and autonomous systems community. This work advances the state of the art by combining LiDAR, inertial measurement units (IMU), and ultra-wideband (UWB) sensing within a resilient factor graph optimization framework, tackling one of the most persistent challenges in field robotics: maintaining continuous, accurate localization when satellite-based navigation is unavailable. Hu's research addresses critical needs in areas such as search and rescue, underground exploration, and industrial inspection, where robust navigation is non-negotiable. His tightly coupled fusion approach demonstrates both technical depth and practical applicability, positioning him as a promising voice in next-generation robot autonomy research.