Xiaoteng Yang
Papers
1
Total Citations
17
H-Index
1
About
Xiaoteng Yang is a leading researcher in robotics and autonomous systems, with a primary focus on sensor fusion, state estimation, and resilient perception for mobile robots. His most notable contribution is the development of **iKalibr**, a unified, targetless spatiotemporal calibration framework for integrated inertial systems. This groundbreaking work, published in 2025 and already garnering 17 citations, addresses a critical challenge in modern robotics: seamlessly calibrating IMUs with exteroceptive sensors like radar, LiDAR, and cameras without requiring artificial targets. By enabling robust, online calibration, iKalibr significantly enhances the reliability of ego-motion estimation and autonomous exploration in complex, real-world environments. Yang’s research directly impacts the performance of autonomous vehicles, drones, and field robots, where precise sensor alignment is essential for safe navigation. His work is widely recognized for bridging the gap between theoretical calibration methods and practical, deployable solutions, making him a key figure in advancing resilient, integrated inertial systems for next-generation robotics.
Research Focus
Key Achievements
Top Papers
- 1