Yujin Kuang
Papers
1
Total Citations
10
H-Index
1
About
Yujin Kuang is a leading researcher in robotics and sensor fusion, specializing in resilient positioning systems for legged robots operating in GNSS-denied environments. Their most-cited work, "Tightly Coupled LIDAR/IMU/UWB Fusion via Resilient Factor Graph for Quadruped Robot Positioning" (2024, 10 citations), introduces a novel framework that integrates LiDAR, inertial measurement units, and ultra-wideband sensors through a resilient factor graph approach. This contribution addresses a critical challenge in robot navigation—maintaining continuous, accurate positioning in environments where satellite signals are unavailable, such as indoor or subterranean spaces. Kuang’s approach significantly enhances the robustness of quadruped robots against sensor failures and environmental degradation, advancing the state-of-the-art in multi-sensor fusion. Their work has direct implications for search-and-rescue missions, industrial inspection, and autonomous exploration. With a growing citation impact, Kuang is establishing themselves as a key innovator in resilient navigation systems, pushing the boundaries of how robots perceive and move through complex, unstructured terrains.
Research Focus
Key Achievements
Top Papers
- 1